FlyingThings3D is a synthetic dataset for optical flow, disparity and scene flow estimation. It consists of everyday objects flying along …
Music21 is an untrimmed video dataset crawled by keyword query from Youtube. It contains music performances belonging to 21 categories. …
ConceptNet is a knowledge graph that connects words and phrases of natural language with labeled edges. Its knowledge is collected …
COCO-WholeBody is an extension of COCO dataset with whole-body annotations. There are 4 types of bounding boxes (person box, face …
Human-Art is a versatile human-centric dataset to bridge the gap between natural and artificial scenes. It includes twenty high-quality human …
This dataset focuses on heavily occluded human with comprehensive annotations including bounding-box, humans pose and instance mask. This dataset contains …
CeyMo is a novel benchmark dataset for road marking detection which covers a wide variety of challenging urban, sub-urban and …
We introduce an object detection dataset in challenging adverse weather conditions covering 12000 samples in real-world driving scenes and 1500 …
DUO is a dataset for Underwater object detection for robot picking. The dataset contains a collection of diverse underwater images …
We introduce an object detection dataset in challenging adverse weather conditions covering 12000 samples in real-world driving scenes and 1500 …
The DroneVehicle dataset consists of a total of 56,878 images collected by the drone, half of which are RGB images, …
Paper: GridTracer: Automatic Mapping of Power Grids using Deep Learning and Overhead Imagery Authors: Bohao Huang, Jichen Yang, Artem Streltsov, …
The Exclusively Dark (ExDARK) dataset is a collection of 7,363 low-light images from very low-light environments to twilight (i.e 10 …
With the advance of AI, road object detection has been a prominent topic in computer vision, mostly using perspective cameras. …
RADIATE (RAdar Dataset In Adverse weaThEr) is new automotive dataset created by Heriot-Watt University which includes Radar, Lidar, Stereo Camera …
The evaluation of object detection models is usually performed by optimizing a single metric, e.g. mAP, on a fixed set …
Automating the creation of catalogues for radio galaxies in next-generation deep surveys necessitates the identification of components within extended sources …
The SARDet-100K dataset encompasses a total of 116,598 images, and 245,653 instances distributed across six categories: Aircraft, Ship, Car, Bridge, …
TRR360D is based on the ICDAR2019MTD modern table detection dataset, it refers to the annotation format of the DOTA dataset. …
UAV-PDD2023: A benchmark dataset for pavement distress detection based on UAV images
UAVDB is a high-resolution RGB video dataset meticulously designed for UAV detection tasks across diverse scales and complex backgrounds. Comprising …
4D-OR includes a total of 6734 scenes, recorded by six calibrated RGB-D Kinect sensors 1 mounted to the ceiling of …
Operating rooms (ORs) are complex, high-stakes environments requiring precise understanding of interactions among medical staff, tools, and equipment for enhancing …
The 300-W is a face dataset that consists of 300 Indoor and 300 Outdoor in-the-wild images. It covers a large …
Animal Kingdom is a large and diverse dataset that provides multiple annotated tasks to enable a more thorough understanding of …
Desert Locus is a animal pose estimation dataset for desert locuses.
We introduce HARPER, a novel dataset for 3D body pose estimation and forecast in dyadic interactions between users and \spot, …
The Human3.6M dataset is one of the largest motion capture datasets, which consists of 3.6 million human poses and corresponding …
The first large-scale pose dataset containing objects of multiple super-categories, termed Multi-category Pose (MP-100). In total, MP-100 dataset covers 100 …
MacaquePose is an animal pose estimation dataset containing pictures of macaque monkeys and manually labeled annotations on them.
Vinegar Fly is a pose estimation dataset for fruit flies.
Description: The "iRodent" dataset contains rodent species observations obtained using the iNaturalist API, with a focus on Suborder Myomorpha (Taxon …
CamVid (Cambridge-driving Labeled Video Database) is a road/driving scene understanding database which was originally captured as five video sequences with …
Stack of 2D gray images of glass fiber-reinforced polyamide 66 (GF-PA66) 3D X-ray Computed Tomography (XCT) specimen. Usage: 2D/3D image …
A Multi-Task 4D Radar-Camera Fusion Dataset for Autonomous Driving on Water Surfaces description of the dataset * WaterScenes, the first …
WildScenes is a bi-modal benchmark dataset consisting of multiple large-scale, sequential traversals in natural environments, including semantic annotations in high-resolution …
The xBD dataset contains over 45,000KM2 of polygon labeled pre and post disaster imagery. The dataset provides the post-disaster imagery …
CaDIS: a Cataract Dataset for Image Segmentation is a dataset for semantic segmentation created by Digital Surgery Ltd. on top …
The Human3.6M dataset is one of the largest motion capture datasets, which consists of 3.6 million human poses and corresponding …
Assembly101 is a new procedural activity dataset featuring 4321 videos of people assembling and disassembling 101 "take-apart" toy vehicles. Participants …
NTU RGB+D is a large-scale dataset for RGB-D human action recognition. It involves 56,880 samples of 60 action classes collected …
Real 3D-AD is the first point cloud anomaly detection dataset for industrial products. Real3D-AD comprises a total of 1,254 samples …
3D hand pose data set created using stereo camera - contains 18,000 RGB images and paired depth images - 3D …
This dataset supports the research detailed in the pre-print "Virtual Imaging Trials Improved the Transparency and Reliability of AI Systems …
Relative Human (RH) contains multi-person in-the-wild RGB images with rich human annotations, including: Depth layers: relative depth relationship/ordering between all …
We propose EMAGE, a framework to generate full-body human gestures from audio and masked gestures, encompassing facial, local body, hands, …
BIWI 3D corpus comprises a total of 1109 sentences uttered by 14 native English speakers (6 males and 8 females). …
VOCASET is a 4D face dataset with about 29 minutes of 4D scans captured at 60 fps and synchronized audio. …
A dataset for voice and 3D face structure study. It contains about 1.4K identities with their 3D face models and …
AFLW2000-3D is a dataset of 2000 images that have been annotated with image-level 68-point 3D facial landmarks. This dataset is …
The Florence 3D faces dataset consists of: * High-resolution 3D scans of human faces from many subjects. * Several video …
The goal of this benchmark is to introduce a standard evaluation metric to measure the accuracy and robustness of 3D …
The REALY benchmark aims to introduce a region-aware evaluation pipeline to measure the fine-grained normalized mean square error (NMSE) of …
DexYCB is a dataset for capturing hand grasping of objects. It can be used three relevant tasks: 2D object and …
FreiHAND is a 3D hand pose dataset which records different hand actions performed by 32 people. For each hand image, …
Human3.6M 3D WholeBody (H3WB) is a large scale dataset with 133 whole-body keypoint annotations on 100K images, made possible by …
The HInt dataset is frequently used as a generalizability benchmark for 3D Hand Reconstruction. It features three data subsets: HInt-NewDays, …
A hand-object interaction dataset with 3D pose annotations of hand and object. The dataset contains 66,034 training images and 11,524 …
The HO-3D v3 is the version 3 of the HO-3D dataset with more accurate hand-object poses. HO-3D v3 provides more …
The InterHand2.6M dataset is a large-scale real-captured dataset with accurate GT 3D interacting hand poses, used for 3D hand pose …
The 3D Poses in the Wild dataset is the first dataset in the wild with accurate 3D poses for evaluation. …
AGORA is a synthetic human dataset with high realism and accurate ground truth. It consists of around 14K training and …
AIST++ is a 3D dance dataset which contains 3D motion reconstructed from real dancers paired with music. The AIST++ Dance …
DHP19 is the first human pose dataset with data collected from DVS event cameras. It has recordings from 4 synchronized …
EMDB contains in-the-wild videos of human activity recorded with a hand-held iPhone. It features reference SMPL body pose and shape …
Human3.6M 3D WholeBody (H3WB) is a large scale dataset with 133 whole-body keypoint annotations on 100K images, made possible by …
HSPACE (Human-SPACE) is a large-scale photo-realistic dataset of animated humans placed in complex synthetic indoor and outdoor environments. For all …
The Human3.6M dataset is one of the largest motion capture datasets, which consists of 3.6 million human poses and corresponding …
JTA is a dataset for people tracking in urban scenarios by exploiting a photorealistic videogame. It is up to now …
MPI-INF-3DHP is a 3D human body pose estimation dataset consisting of both constrained indoor and complex outdoor scenes. It records …
CMU Panoptic is a large scale dataset providing 3D pose annotations (1.5 millions) for multiple people engaging social activities. It …
Inferring human-scene contact (HSC) is the first step toward understanding how humans interact with their surroundings. While detecting 2D human-object …
SLOPER4D is a novel scene-aware dataset collected in large urban environments to facilitate the research of global human pose estimation …
UBody is a large-scale Upper-Body dataset with the following annotations: * 2D whole-body keypoints * 3D SMPLX annotations * Frame …
The Waymo Open Dataset is comprised of high resolution sensor data collected by autonomous vehicles operated by the Waymo Driver …
Contains mitochondria instances. Source: MitoEM
PartNet is a consistent, large-scale dataset of 3D objects annotated with fine-grained, instance-level, and hierarchical 3D part information. The dataset …
The Stanford 3D Indoor Scene Dataset (S3DIS) dataset contains 6 large-scale indoor areas with 271 rooms. Each point in the …
Our project (STPLS3D) aims to provide a large-scale aerial photogrammetry dataset with synthetic and real annotated 3D point clouds for …
ScanNet is an instance-level indoor RGB-D dataset that includes both 2D and 3D data. It is a collection of labeled …
ScanNet++ is a large scale dataset with 450+ 3D indoor scenes containing sub-millimeter resolution laser scans, registered 33-megapixel DSLR images, …
The ScanNet200 benchmark studies 200-class 3D semantic segmentation - an order of magnitude more class categories than previous 3D scene …
SceneNN is an RGB-D scene dataset consisting of more than 100 indoor scenes. The scenes are captured at various places, …
The Waymo Open Dataset is comprised of high resolution sensor data collected by autonomous vehicles operated by the Waymo Driver …
The nuScenes dataset is a large-scale autonomous driving dataset. The dataset has 3D bounding boxes for 1000 scenes collected in …
Robust detection and tracking of objects is crucial for the deployment of autonomous vehicle technology. Image based benchmark datasets have …
AGORA is a synthetic human dataset with high realism and accurate ground truth. It consists of around 14K training and …
MuPoTs-3D (Multi-person Pose estimation Test Set in 3D) is a dataset for pose estimation composed of more than 8,000 frames …
CMU Panoptic is a large scale dataset providing 3D pose annotations (1.5 millions) for multiple people engaging social activities. It …
MuPoTs-3D (Multi-person Pose estimation Test Set in 3D) is a dataset for pose estimation composed of more than 8,000 frames …
MuPoTs-3D (Multi-person Pose estimation Test Set in 3D) is a dataset for pose estimation composed of more than 8,000 frames …
Objaverse is a large dataset of objects with 800K+ (and growing) 3D models with descriptive captions, tags, and animations. Objaverse …
A novel dataset and benchmark, which features 1482 RGB-D scans of 478 environments across multiple time steps. Each scene includes …
ARKitScenes is an RGB-D dataset captured with the widely available Apple LiDAR scanner. Along with the per-frame raw data (Wide …
A small-scale, real-world Project Aria dataset with high quality static 3D oriented bounding boxs annotations. Dataset Contents - Project Aria …
[1]: https://www.projectaria.com/datasets/ase/ "" [2]: https://facebookresearch.github.io/projectaria_tools/docs/open_datasets/aria_synthetic_environments_dataset "" [3]: https://www.projectaria.com/research/ "" Aria Synthetic Environments is a large-scale, fully simulated dataset created by …
Detecting vehicles and representing their position and orientation in the three dimensional space is a key technology for autonomous driving. …
We introduce an object detection dataset in challenging adverse weather conditions covering 12000 samples in real-world driving scenes and 1500 …
DAIR-V2X is a large-scale, multi-modality, multi-view dataset from real scenarios for VICAD. DAIR-V2X comprises 71254 LiDAR frames and 71254 Camera …
Are current 3D object tracking methods truely robust enough for low-fidelity depth sensors like the iPhone LiDAR? We introduce DTTD-Mobile …
We introduce an object detection dataset in challenging adverse weather conditions covering 12000 samples in real-world driving scenes and 1500 …
We introduce an object detection dataset in challenging adverse weather conditions covering 12000 samples in real-world driving scenes and 1500 …
We introduce an object detection dataset in challenging adverse weather conditions covering 12000 samples in real-world driving scenes and 1500 …
We introduce MultiScan, a scalable RGBD dataset construction pipeline leveraging commodity mobile devices to scan indoor scenes with articulated objects …
ONCE (One millioN sCenEs) is a dataset for 3D object detection in the autonomous driving scenario. The ONCE dataset consists …
OPV2V is a large-scale open simulated dataset for Vehicle-to-Vehicle perception. It contains over 70 interesting scenes, 11,464 frames, and 232,913 …
Roadside Perception 3D (Rope3D) is a dataset for autonomous driving and monocular 3D object detection task consisting of 50k images …
The Stanford 3D Indoor Scene Dataset (S3DIS) dataset contains 6 large-scale indoor areas with 271 rooms. Each point in the …
ScanNet++ is a large scale dataset with 450+ 3D indoor scenes containing sub-millimeter resolution laser scans, registered 33-megapixel DSLR images, …
The SimBEV dataset is a collection of 320 scenes spread across all 11 CARLA maps and contains data from a …
Autonomous trucking is a promising technology that can greatly impact modern logistics and the environment. Ensuring its safety on public …
V2X-Sim, short for vehicle-to-everything simulation, is the a synthetic collaborative perception dataset in autonomous driving developed by AI4CE Lab at …
A large-scale V2X perception dataset using CARLA and OpenCDA
The Waymo Open Dataset is comprised of high resolution sensor data collected by autonomous vehicles operated by the Waymo Driver …
aiMotive dataset is a multimodal dataset for robust autonomous driving with long-range perception. The dataset consists of 176 scenes with …
The nuScenes dataset is a large-scale autonomous driving dataset. The dataset has 3D bounding boxes for 1000 scenes collected in …
Robust detection and tracking of objects is crucial for the deployment of autonomous vehicle technology. Image based benchmark datasets have …
BEHAVE is a full body human-object interaction dataset with multi-view RGBD frames and corresponding 3D SMPL and object fits along …
ShapeNet is a large scale repository for 3D CAD models developed by researchers from Stanford University, Princeton University and the …
The Robot Tracking Benchmark (RTB) is a synthetic dataset that facilitates the quantitative evaluation of 3D tracking algorithms for multi-body …
The Replica Dataset is a dataset of high quality reconstructions of a variety of indoor spaces. Each reconstruction has clean …
The Stanford 3D Indoor Scene Dataset (S3DIS) dataset contains 6 large-scale indoor areas with 271 rooms. Each point in the …
Our project (STPLS3D) aims to provide a large-scale aerial photogrammetry dataset with synthetic and real annotated 3D point clouds for …
The ScanNet200 benchmark studies 200-class 3D semantic segmentation - an order of magnitude more class categories than previous 3D scene …
IntrA is an open-access 3D intracranial aneurysm dataset that makes the application of points-based and mesh-based classification and segmentation models …
ModelNet40-C is a comprehensive dataset to benchmark the corruption robustness of 3D point cloud recognition. We create ModelNet40-C based on …
ScanObjectNN is a newly published real-world dataset comprising of 2902 3D objects in 15 categories. It is a challenging point …
This dataset contains a variety of common urban road objects scanned with a Velodyne HDL-64E LIDAR, collected in the CBD …
Dynamic Human Bodies dataset (DHB), containing 10 point cloud sequences from the MITAMA dataset and 4 from the 8IVFB dataset. …
A challenging multi-frame interpolation dataset for autonomous driving scenarios. Based on the principle of hard-sample selection and the diversity of …
ScanObjectNN is a newly published real-world dataset comprising of 2902 3D objects in 15 categories. It is a challenging point …
ApolloCar3DT is a dataset that contains 5,277 driving images and over 60K car instances, where each car is fitted with …
We introduce HARPER, a novel dataset for 3D body pose estimation and forecast in dyadic interactions between users and \spot, …
The Human3.6M dataset is one of the largest motion capture datasets, which consists of 3.6 million human poses and corresponding …
Includes 100K depth images under challenging scenarios. Source: Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning
The 300-W is a face dataset that consists of 300 Indoor and 300 Outdoor in-the-wild images. It covers a large …
ApolloCar3DT is a dataset that contains 5,277 driving images and over 60K car instances, where each car is fitted with …
A real-world dataset, with hyper-accurate digital counterpart & comprehensive ground-truth annotation. Dataset Content - 200 sequences (~400 mins) - 398 …
[1]: https://www.projectaria.com/datasets/ase/ "" [2]: https://facebookresearch.github.io/projectaria_tools/docs/open_datasets/aria_synthetic_environments_dataset "" [3]: https://www.projectaria.com/research/ "" Aria Synthetic Environments is a large-scale, fully simulated dataset created by …
DTU MVS 2014 is a multi-view stereo dataset, which is an order of magnitude larger in number of scenes and …
Scan2CAD is an alignment dataset based on 1506 ScanNet scans with 97607 annotated keypoints pairs between 14225 (3049 unique) CAD …
ScanNet is an instance-level indoor RGB-D dataset that includes both 2D and 3D data. It is a collection of labeled …
ShapeNet is a large scale repository for 3D CAD models developed by researchers from Stanford University, Princeton University and the …
3DSSG provides 3D semantic scene graphs for 3RScan. A semantic scene graph is defined by a set of tuples between …
KITTI-360 is a large-scale dataset that contains rich sensory information and full annotations. It is the successor of the popular …
The NYU-Depth V2 data set is comprised of video sequences from a variety of indoor scenes as recorded by both …
PRO-teXt is an extension of PROXD with the inclusion of text prompts to synthesize objects. There are 180/20 interactions for …
SemanticKITTI is a large-scale outdoor-scene dataset for point cloud semantic segmentation. It is derived from the KITTI Vision Odometry Benchmark …
We present the Dayton Annotated LiDAR Earth Scan (DALES) data set, a new large-scale aerial LiDAR data set with over …
ECLAIR (Extended Classification of Lidar for AI Recognition), a new outdoor large-scale aerial LiDAR dataset designed specifically for advancing research …
For many fundamental scene understanding tasks, it is difficult or impossible to obtain per-pixel ground truth labels from real images. …
KITTI-360 is a large-scale dataset that contains rich sensory information and full annotations. It is the successor of the popular …
OpenTrench3D, the first publicly available point cloud dataset of underground utilities from open trenches. It features 310 fully annotated point …
PartNet is a consistent, large-scale dataset of 3D objects annotated with fine-grained, instance-level, and hierarchical 3D part information. The dataset …
The Stanford 3D Indoor Scene Dataset (S3DIS) dataset contains 6 large-scale indoor areas with 271 rooms. Each point in the …
Our project (STPLS3D) aims to provide a large-scale aerial photogrammetry dataset with synthetic and real annotated 3D point clouds for …
ScanNet++ is a large scale dataset with 450+ 3D indoor scenes containing sub-millimeter resolution laser scans, registered 33-megapixel DSLR images, …
The ScanNet200 benchmark studies 200-class 3D semantic segmentation - an order of magnitude more class categories than previous 3D scene …
ScribbleKITTI is a scribble-annotated dataset for LiDAR semantic segmentation.
SemanticKITTI is a large-scale outdoor-scene dataset for point cloud semantic segmentation. It is derived from the KITTI Vision Odometry Benchmark …
The SensatUrbat dataset is an urban-scale photogrammetric point cloud dataset with nearly three billion richly annotated points, which is five …
Toronto-3D is a large-scale urban outdoor point cloud dataset acquired by an MLS system in Toronto, Canada for semantic segmentation. …
The Waymo Open Dataset is comprised of high resolution sensor data collected by autonomous vehicles operated by the Waymo Driver …
WildScenes is a bi-modal benchmark dataset consisting of multiple large-scale, sequential traversals in natural environments, including semantic annotations in high-resolution …
The nuScenes dataset is a large-scale autonomous driving dataset. The dataset has 3D bounding boxes for 1000 scenes collected in …
ApolloCar3DT is a dataset that contains 5,277 driving images and over 60K car instances, where each car is fitted with …
The Pix3D dataset is a large-scale benchmark of diverse image-shape pairs with pixel-level 2D-3D alignment. Pix3D has wide applications in …
ApolloCar3DT is a dataset that contains 5,277 driving images and over 60K car instances, where each car is fitted with …
Local Light Field Fusion (LLFF) is a practical and robust deep learning solution for capturing and rendering novel views of …
Local Light Field Fusion (LLFF) is a practical and robust deep learning solution for capturing and rendering novel views of …
SemanticKITTI is a large-scale outdoor-scene dataset for point cloud semantic segmentation. It is derived from the KITTI Vision Odometry Benchmark …
Dataset consist of both real captures from Photoneo PhoXi structured light scanner devices annotated by hand and synthetic samples produced …
ApolloCar3DT is a dataset that contains 5,277 driving images and over 60K car instances, where each car is fitted with …
Are current 3D object tracking methods truely robust enough for low-fidelity depth sensors like the iPhone LiDAR? We introduce DTTD-Mobile …
Accurately tracking the six degree-of-freedom pose of an object in real scenes is an important task in computer vision and …
The YCB-Video dataset is a large-scale video dataset for 6D object pose estimation. provides accurate 6D poses of 21 objects …
UBI-Fights - Concerning a specific anomaly detection and still providing a wide diversity in fighting scenarios, the UBI-Fights dataset is …
The UCSD Anomaly Detection Dataset was acquired with a stationary camera mounted at an elevation, overlooking pedestrian walkways. The crowd …
Assembly101 is a new procedural activity dataset featuring 4321 videos of people assembling and disassembling 101 "take-apart" toy vehicles. Participants …
Extended GTEA Gaze+ EGTEA Gaze+ is a large-scale dataset for FPV actions and gaze. It subsumes GTEA Gaze+ and comes …
This paper introduces the pipeline to scale the largest dataset in egocentric vision EPIC-KITCHENS. The effort culminates in EPIC-KITCHENS-100, a …
EgoExoLearn is a fascinating dataset designed to bridge the gap between egocentric and exocentric views of procedural activities. 1. **What …
The Charades dataset is composed of 9,848 videos of daily indoors activities with an average length of 30 seconds, involving …
Spatio-temporal action detection is an important and challenging problem in video understanding. The existing action detection benchmarks are limited in …
The MultiTHUMOS dataset contains dense, multilabel, frame-level action annotations for 30 hours across 400 videos in the THUMOS'14 action detection …
Toyota Smarthome Untrimmed (TSU) is a dataset for activity detection in long untrimmed videos. The dataset contains 536 videos with …
This task offers researchers an opportunity to test their fine-grained classification methods for detecting and recognizing strokes in table tennis …
TTStroke-21 for MediaEval 2022. The task is of interest to researchers in the areas of machine learning (classification), visual content …
The UCF Sports dataset consists of a set of actions collected from various sports which are typically featured on broadcast …
Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …
Consists of 1106 action samples from seven actions with quality scores as measured by expert human judges. Source: [Action Quality …
EgoExoLearn is a fascinating dataset designed to bridge the gap between egocentric and exocentric views of procedural activities. 1. **What …
We construct a fine-grained video dataset organized by both semantic and temporal structures, where each structure contains two-level annotations. * …
The JHU-ISI Gesture and Skill Assessment Working Set (JIGSAWS) is a surgical activity dataset for human motion modeling. The data …
A new multitask action quality assessment (AQA) dataset, the largest to date, comprising of more than 1600 diving samples; contains …
The Rhythmic Gymnastics dataset contains videos of four different types of gymnastics routines: ball, clubs, hoop and ribbon. Each type …
UI-PRMD is a data set of movements related to common exercises performed by patients in physical therapy and rehabilitation programs. …
The ActivityNet dataset contains 200 different types of activities and a total of 849 hours of videos collected from YouTube. …
Animal Kingdom is a large and diverse dataset that provides multiple annotated tasks to enable a more thorough understanding of …
Biased Action Recognition (BAR) dataset is a real-world image dataset categorized as six action classes which are biased to distinct …
The Charades dataset is composed of 9,848 videos of daily indoors activities with an average length of 30 seconds, involving …
Contains 68,536 activity instances in 68.8 hours of first and third-person video, making it one of the largest and most …
Comprises 11 hand gesture categories from 29 subjects under 3 illumination conditions. Source: [A Low Power, Fully Event-Based Gesture Recognition …
Website: https://asankagp.github.io/droneaction/
This paper introduces the pipeline to scale the largest dataset in egocentric vision EPIC-KITCHENS. The effort culminates in EPIC-KITCHENS-100, a …
The EPIC-KITCHENS-55 dataset comprises a set of 432 egocentric videos recorded by 32 participants in their kitchens at 60fps with …
The EgoGesture dataset contains 2,081 RGB-D videos, 24,161 gesture samples and 2,953,224 frames from 50 distinct subjects. Source: http://www.nlpr.ia.ac.cn/iva/yfzhang/datasets/egogesture.html Image …
We present a comprehensive framework for egocentric interaction recognition using markerless 3D annotations of two hands manipulating objects. To this …
HAA500 is a manually annotated human-centric atomic action dataset for action recognition on 500 classes with over 591k labeled frames. …
HACS is a dataset for human action recognition. It uses a taxonomy of 200 action classes, which is identical to …
The HMDB51 dataset is a large collection of realistic videos from various sources, including movies and web videos. The dataset …
IndustReal is an ego-centric, multi-modal dataset where 27 participants are challenged to perform assembly and maintenance procedures on a construction-toy …
Jester Gesture Recognition dataset includes 148,092 labeled video clips of humans performing basic, pre-defined hand gestures in front of a …
The MECCANO dataset is the first dataset of egocentric videos to study human-object interactions in industrial-like settings. The MECCANO dataset …
A new multitask action quality assessment (AQA) dataset, the largest to date, comprising of more than 1600 diving samples; contains …
Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …
The Multiview 3D event dataset is capture by me and Xiaohan Nie in UCLA. it contains RGB, depth and human …
NTU RGB+D is a large-scale dataset for RGB-D human action recognition. It involves 56,880 samples of 60 action classes collected …
NTU RGB+D 120 is a large-scale dataset for RGB+D human action recognition, which is collected from 106 distinct subjects and …
A new video dataset for aerial view concurrent human action detection. It consists of 43 minute-long fully-annotated sequences with 12 …
The Penn Action Dataset contains 2326 video sequences of 15 different actions and human joint annotations for each sequence. Source: …
RareAct is a video dataset of unusual actions, including actions like “blend phone”, “cut keyboard” and “microwave shoes”. It aims …
RoCoG-v2 (Robot Control Gestures) is a dataset intended to support the study of synthetic-to-real and ground-to-air video domain adaptation. It …
A dataset derived from the recently introduced Mimetics dataset. Source: Quo Vadis, Skeleton Action Recognition ?
The 20BN-SOMETHING-SOMETHING dataset is a large collection of labeled video clips that show humans performing pre-defined basic actions with everyday …
The 20BN-SOMETHING-SOMETHING V2 dataset is a large collection of labeled video clips that show humans performing pre-defined basic actions with …
The Sports-1M dataset consists of over a million videos from YouTube. The videos in the dataset can be obtained through …
The THUMOS14 (THUMOS 2014) dataset is a large-scale video dataset that includes 1,010 videos for validation and 1,574 videos for …
UAV-Human is a large dataset for human behavior understanding with UAVs. It contains 67,428 multi-modal video sequences and 119 subjects …
UCF101 dataset is an extension of UCF50 and consists of 13,320 video clips, which are classified into 101 categories. These …
The UTD-MHAD dataset consists of 27 different actions performed by 8 subjects. Each subject repeated the action for 4 times, …
Volleyball is a video action recognition dataset. It has 4830 annotated frames that were handpicked from 55 videos with 9 …
First of its kind paired win-fail action understanding dataset with samples from the following domains: “General Stunts,” “Internet Wins-Fails,” “Trick …
The ActivityNet dataset contains 200 different types of activities and a total of 849 hours of videos collected from YouTube. …
Jester Gesture Recognition dataset includes 148,092 labeled video clips of humans performing basic, pre-defined hand gestures in front of a …
The Kinetics-600 is a large-scale action recognition dataset which consists of around 480K videos from 600 action categories. The 480K …
NTU RGB+D is a large-scale dataset for RGB-D human action recognition. It involves 56,880 samples of 60 action classes collected …
The PKU-MMD dataset is a large skeleton-based action detection dataset. It contains 1076 long untrimmed video sequences performed by 66 …
The 20BN-SOMETHING-SOMETHING dataset is a large collection of labeled video clips that show humans performing pre-defined basic actions with everyday …
The 20BN-SOMETHING-SOMETHING V2 dataset is a large collection of labeled video clips that show humans performing pre-defined basic actions with …
The Sports-1M dataset consists of over a million videos from YouTube. The videos in the dataset can be obtained through …
UCF101 dataset is an extension of UCF50 and consists of 13,320 video clips, which are classified into 101 categories. These …
Activity recognition research has shifted focus from distinguishing full-body motion patterns to recognizing complex interactions of multiple entities. Manipulative gestures …
Assembly101 is a new procedural activity dataset featuring 4321 videos of people assembling and disassembling 101 "take-apart" toy vehicles. Participants …
The Breakfast Actions Dataset comprises of 10 actions related to breakfast preparation, performed by 52 different individuals in 18 different …
The COIN dataset (a large-scale dataset for COmprehensive INstructional video analysis) consists of 11,827 videos related to 180 different tasks …
The Georgia Tech Egocentric Activities (GTEA) dataset contains seven types of daily activities such as making sandwich, tea, or coffee. …
The JHU-ISI Gesture and Skill Assessment Working Set (JIGSAWS) is a surgical activity dataset for human motion modeling. The data …
A dataset which provides detailed annotations for activity recognition. Source: [Recognizing Fine-Grained and Composite Activities using Hand-Centric Features and Script …
We address the problem of automatically learning the main steps to complete a certain task, such as changing a car …
First of its kind paired win-fail action understanding dataset with samples from the following domains: “General Stunts,” “Internet Wins-Fails,” “Trick …
Contains densely labeled speech activity in YouTube videos, with the goal of creating a shared, available dataset for this task. …
A database with 2,000 videos captured by surveillance cameras in real-world scenes. Source: [RWF-2000: An Open Large Scale Video Database …
The Stanford 40 Action Dataset contains images of humans performing 40 actions. In each image, we provide a bounding box …
Internet Archive videos (IACC.3) under Creative Commons licenses. The test video collection for TRECVID-AVS2016-TRECVID-AVS2018 contains 335,944 web video clips (600hr).
Internet Archive videos (IACC.3) under Creative Commons licenses. The test video collection for TRECVID-AVS2016-TRECVID-AVS2018 contains 335,944 web video clips (600hr).
Internet Archive videos (IACC.3) under Creative Commons licenses. The test video collection for TRECVID-AVS2016-TRECVID-AVS2018 contains 335,944 web video clips (600hr).
The dataset has been designed to represent true web videos in the wild, with good visual quality and diverse content …
The dataset has been designed to represent true web videos in the wild, with good visual quality and diverse content …
The CIFAR-10 database (Canadian Institute For Advanced Research database) is a large collection of natural color images. It has a …
The CIFAR-100 dataset (Canadian Institute for Advanced Research, 100 classes) is a subset of the Tiny Images dataset and consists …
WSJ0-2mix is a speech recognition corpus of speech mixtures using utterances from the Wall Street Journal (WSJ0) corpus. Source: [Deep …
3D AffordanceNet is a dataset of 23k shapes for visual affordance. It consists of 56,307 well-defined affordance information annotations for …
HICO-DET is a dataset for detecting human-object interactions (HOI) in images. It contains 47,776 images (38,118 in train set and …
The Asian Face Age Dataset (AFAD) is a new dataset proposed for evaluating the performance of age estimation, which contains …
AgeDB contains 16, 488 images of various famous people, such as actors/actresses, writers, scientists, politicians, etc. Every image is annotated …
The Cross-Age Celebrity Dataset (CACD) contains 163,446 images from 2,000 celebrities collected from the Internet. The images are collected from …
We have cleaned the noisy IMDB-WIKI dataset using a constrained clustering method, resulting this new benchmark for in-the-wild age estimation. …
KANFace consists of 40K still images and 44K sequences (14.5M video frames in total) captured in unconstrained, real-world conditions from …
The LAGENDA dataset is a large-scale dataset with age and gender annotations for face and body bounding boxes. The dataset …
MORPH is a facial age estimation dataset, which contains 55,134 facial images of 13,617 subjects ranging from 16 to 77 …
The UTKFace dataset is a large-scale face dataset with long age span (range from 0 to 116 years old). The …
Matanga Darknet — 2025 Access Guide As internet censorship intensifies, Shadow Marketplaces remain crucial tools for anonymous transactions. Matanga Darknet …
AP-10K is the first large-scale benchmark for general animal pose estimation, to facilitate the research in animal pose estimation. AP-10K …
Animal-Pose Dataset is an animal pose dataset to facilitate training and evaluation. This dataset provides animal pose annotations on five …
Accurately estimating the 3D pose and shape is an essential step towards understanding animal behavior, and can potentially benefit many …
Schools of inland silversides (Menidia beryllina, n=14 individuals per school) were recorded in the Lauder Lab at Harvard University while …
Horse-10 is an animal pose estimation dataset. It comprises 30 diverse Thoroughbred horses, for which 22 body parts were labeled …
All animal procedures are overseen by veterinary staff of the MIT and Broad Institute Department of Comparative Medicine, in compliance …
An 'in the wild' dataset of 20,580 dog images for which 2D joint and silhouette annotations were collected. Source: [Who …
Three wild-type (C57BL/6J) male mice ran on a paper spool following odor trails (Mathis et al 2018). These experiments were …
The GoodsAD dataset contains 6124 images with 6 categories of common supermarket goods. Each category contains multiple goods. All images …
MVTec-AC is a curated refinement of the widely-used MVTec-AD dataset, specifically designed for anomaly classification—distinguishing between different types of anomalies …
MVTec AD is a dataset for benchmarking anomaly detection methods with a focus on industrial inspection. It contains over 5000 …
The VisA dataset contains 12 subsets corresponding to 12 different objects as shown in the above figure. There are 10,821 …
VisA-AC is a refined benchmark based on the VisA dataset, tailored for the task of anomaly classification—distinguishing between different types …
Alzheimer's Disease Neuroimaging Initiative (ADNI) is a multisite study that aims to improve clinical trials for the prevention and treatment …
AG News (AG’s News Corpus) is a subdataset of AG's corpus of news articles constructed by assembling titles and description …
The BTAD ( beanTech Anomaly Detection) dataset is a real-world industrial anomaly dataset. The dataset contains a total of 2830 …
The CIFAR-10 database (Canadian Institute For Advanced Research database) is a large collection of natural color images. It has a …
COCO-OOC goes beyond standard object detection to ask the question: Which objects are out-of-context (OOC)? Given an image with a …
Avenue Dataset contains 16 training and 21 testing video clips. The videos are captured in CUHK campus avenue with 30652 …
Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …
Fashion-MNIST is a dataset comprising of 28×28 grayscale images of 70,000 fashion products from 10 categories, with 7,000 images per …
Fishyscapes is a public benchmark for uncertainty estimation in a real-world task of semantic segmentation for urban driving. It evaluates …
Predicting forest cover type from cartographic variables only (no remotely sensed data). The actual forest cover type for a given …
HyperKvasir dataset contains 110,079 images and 374 videos where it captures anatomical landmarks and pathological and normal findings. A total …
An abnormal activity data-set for research use that contains 4,83,566 annotated frames. Source: [Multi-timescale Trajectory Prediction for Abnormal Human Activity …
The Industrial Textile Defect Detection (ITDD) dataset includes 1885 industrial textile images categorized into 4 categories: cotton fabric, dyed fabric, …
InsPLAD is a Dataset for Power Line Asset Inspection containing 10,607 high-resolution Unmanned Aerial Vehicles colour images. It contains 17 …
This is the data set used for The Third International Knowledge Discovery and Data Mining Tools Competition, which was held …
The dataset contains transactions made by credit cards in September 2013 by European cardholders. This dataset presents transactions that occurred …
Includes 5,824 fundus images labeled with either positive glaucoma (2,392) or negative glaucoma (3,432). Source: [Attention Based Glaucoma Detection: A …
Lost and Found is a novel lost-cargo image sequence dataset comprising more than two thousand frames with pixelwise annotations of …
The MIT-BIH Arrhythmia Database contains 48 half-hour excerpts of two-channel ambulatory ECG recordings, obtained from 47 subjects studied by the …
The MNIST database (Modified National Institute of Standards and Technology database) is a large collection of handwritten digits. It has …
MPDD is a dataset aimed at benchmarking visual defect detection methods in industrial metal parts manufacturing. It consists of more …
MVTec 3D Anomaly Detection Dataset (MVTec 3D-AD) is a comprehensive 3D dataset for the task of unsupervised anomaly detection and …
MVTec Logical Constraints Anomaly Detection (MVTec LOCO AD) dataset is intended for the evaluation of unsupervised anomaly localization algorithms. The …
The Musk dataset describes a set of molecules, and the objective is to detect musks from non-musks. This dataset describes …
Outliers or anomalies are instances that do not conform to the norm of a dataset. Outlier detection is an important …
Multi-pose Anomaly Detection (MAD) dataset, which represents the first attempt to evaluate the performance of pose-agnostic anomaly detection. The MAD …
This dataset contains images of unusual dangers which can be encountered by a vehicle on the road – animals, rocks, …
a dataset of time-series anomaly detection
Street View House Numbers (SVHN) is a digit classification benchmark dataset that contains 600,000 32×32 RGB images of printed digits …
The Shanghaitech dataset is a large-scale crowd counting dataset. It consists of 1198 annotated crowd images. The dataset is divided …
The ShanghaiTech Campus dataset has 13 scenes with complex light conditions and camera angles. It contains 130 abnormal events and …
Street Scene is a dataset for video anomaly detection. Street Scene consists of 46 training and 35 testing high resolution …
The TII-SSRC-23 dataset offers a comprehensive collection of network traffic patterns, meticulously compiled to support the development and research of …
Thyroid is a dataset for detection of thyroid diseases, in which patients diagnosed with hypothyroid or subnormal are anomalies against …
UBnormal is a new supervised open-set benchmark composed of multiple virtual scenes for video anomaly detection. Unlike existing data sets, …
The UCF-Crime dataset is a large-scale dataset of 128 hours of videos. It consists of 1900 long and untrimmed real-world …
The UCR Anomaly Archive is a collection of 250 uni-variate time series collected in human medicine, biology, meteorology and industry. …
The UCSD Anomaly Detection Dataset was acquired with a stationary camera mounted at an elevation, overlooking pedestrian walkways. The crowd …
Five datasets used in NeurTraL-AD paper: \textit{RacketSports (RS).} Accelerometer and gyroscope recording of players playing four different racket sports. Each …
The code to create the dataset is available here. The dataset used in the paper is available on github - …
The VisA dataset contains 12 subsets corresponding to 12 different objects as shown in the above figure. There are 10,821 …
WFDD is a dataset for benchmarking anomaly detection methods with a focus on textile inspection. It includes 4101 woven fabric …
voraus-AD contains machine data of a collaborative robot, which moves a can by performing an industrial pick-and-place task. The samples …
Rendered synthetically using a library of standard 3D objects, and tests the ability to recognize compositions of object movements that …
The large-scale MUSIC-AVQA dataset of musical performance contains 45,867 question-answer pairs, distributed in 9,288 videos for over 150 hours. All …
ApolloCar3DT is a dataset that contains 5,277 driving images and over 60K car instances, where each car is fitted with …
ApolloCar3DT is a dataset that contains 5,277 driving images and over 60K car instances, where each car is fitted with …
The SimBEV dataset is a collection of 320 scenes spread across all 11 CARLA maps and contains data from a …
The TII-SSRC-23 dataset offers a comprehensive collection of network traffic patterns, meticulously compiled to support the development and research of …
[Real or Fake] : Fake Job Description Prediction This dataset contains 18K job descriptions out of which about 800 are …
Kickstarter is a community of more than 10 million people comprising of creative, tech enthusiasts who help in bringing creative …
The SimBEV dataset is a collection of 320 scenes spread across all 11 CARLA maps and contains data from a …
The nuScenes dataset is a large-scale autonomous driving dataset. The dataset has 3D bounding boxes for 1000 scenes collected in …
The CelebA-HQ dataset is a high-quality version of CelebA that consists of 30,000 images at 1024×1024 resolution. Source: [IntroVAE: Introspective …
The LFW dataset contains 13,233 images of faces collected from the web. This dataset consists of the 5749 identities with …
WIDER is a dataset for complex event recognition from static images. As of v0.1, it contains 61 event categories and …
CoAuthor is a dataset designed for revealing GPT-3's capabilities in assisting creative and argumentative writing. CoAuthor captures rich interactions between …
The PASCAL Context dataset is an extension of the PASCAL VOC 2010 detection challenge, and it contains pixel-wise labels for …
RoFT is a dataset of 21,000 human annotations of generated text. The task is "Boundary detection" i.e. given a passage …
RoFT-chatgpt is a variation of RoFT dataset, where the same human prompts are continued with the gpt-3.5-turbo model. Each dataset …
UruDendro is a database of wood cross section images of commercially grown Pinus taeda trees from northern Uruguay. It is …
The Breast Cancer Histopathological Image Classification (BreakHis) is composed of 9,109 microscopic images of breast tumor tissue collected from 82 …
The temporal variability in calving front positions of marine-terminating glaciers permits inference on the frontal ablation. Frontal ablation, the sum …
The odometry benchmark consists of 22 stereo sequences, saved in loss less png format: We provide 11 sequences (00-10) with …
Camouflaged Object (CAMO) dataset specifically designed for the task of camouflaged object segmentation. We focus on two categories, i.e., naturally …
The nine (moving camera) videos in this benchmark exhibit camouflaged animals that are difficult to see in a single frame, …
The original Moving Camouflaged Animals (MoCA) Dataset includes 37K frames from 141 YouTube Video sequences with resolution and sampling rate …
As far as we know, there only exists one large camouflaged object testing dataset, the COD10K, while the sizes of …
The dataset contains multi-omics data, incuding mRNA, miRNA, and DNA methylation. The dataset comprises 8,464 samples involving 2,794 omics features …
HeLa cells on a flat glass Dr. G. van Cappellen. Erasmus Medical Center, Rotterdam, The Netherlands
MDA231 human breast carcinoma cells infected with a pMSCV vector including the GFP sequence, embedded in a collagen matrix Dr. …
GFP-GOWT1 mouse stem cells Dr. E. Bártová. Institute of Biophysics, Academy of Sciences of the Czech Republic, Brno, Czech Republic
Simulated nuclei of HL60 cells stained with Hoescht Dr. V. Ulman and Dr. D. Svoboda. Centre for Biomedical Image Analysis …
HeLa cells stably expressing H2b-GFP Mitocheck Consortium
Glioblastoma-astrocytoma U373 cells on a polyacrylamide substrate Dr. S. Kumar. Department of Bioengineering, University of California at Berkeley, Berkeley CA …
The STARE (Structured Analysis of the Retina) dataset is a dataset for retinal vessel segmentation. It contains 20 equal-sized (700×605) …
The CLCD dataset consists of 600 pairs image of cropland change samples, with 360 pairs for training, 120 pairs for …
ChangeSim is a dataset aimed at online scene change detection (SCD) and more. The data is collected in photo-realistic simulation …
The dataset is manually collected from Google Earth. It consists of six large bi-temporal high resolution images covering six cities …
Bi-temporal images in the EGY-BCD dataset are taken from 4 different regions located in Egypt, including New Mansoura, El Galala …
For change detection tasks, current open-source datasets mainly focus on building extraction (e.g., WHU building dataset and LEVIR-CD dataset) (Chen …
LEVIR-CD is a new large-scale remote sensing building Change Detection dataset. The introduced dataset would be a new benchmark for …
The Arabic dataset is scraped mainly from الموسوعة الشعرية and الديوان. After merging both, the total number of verses is …
S2Looking is a building change detection dataset that contains large-scale side-looking satellite images captured at varying off-nadir angles. The S2Looking …
SECOND is a well-annotated semantic change detection dataset. To ensure data diversity, we firstly collect 4662 pairs of aerial images …
We manually edited an aerial and a satellite imagery dataset of building samples and named it a WHU building dataset. …
Data Set Information: Extraction was done by Barry Becker from the 1994 Census database. A set of reasonably clean records …
In an effort to catalog insect biodiversity, we propose a new large dataset of hand-labelled insect images, the BIOSCAN-1M Insect …
The purpose of this dataset was to study gender bias in occupations. Online biographies, written in English, were collected to …
BoolQ is a question answering dataset for yes/no questions containing 15942 examples. These questions are naturally occurring – they are …
This dataset is a combination of the following three datasets : figshare, SARTAJ dataset and Br35H This dataset contains 7022 …
The quality of AI-generated images has rapidly increased, leading to concerns of authenticity and trustworthiness. CIFAKE is a dataset that …
The CIFAR-100 dataset (Canadian Institute for Advanced Research, 100 classes) is a subset of the Tiny Images dataset and consists …
Common corruptions dataset for CIFAR10
Contains hundreds of frontal view X-rays and is the largest public resource for COVID-19 image and prognostic data, making it …
Data was collected for normal bearings, single-point drive end and fan end defects. Data was collected at 12,000 samples/second and …
The normal chest X-ray (left panel) depicts clear lungs without any areas of abnormal opacification in the image. Bacterial pneumonia …
We construct the ForgeryNet dataset, an extremely large face forgery dataset with unified annotations in image- and video-level data across …
A public data set of walking full-body kinematics and kinetics in individuals with Parkinson’s disease
HOWS-CL-25 (Household Objects Within Simulation dataset for Continual Learning) is a synthetic dataset especially designed for object classification on mobile …
The HRF dataset is a dataset for retinal vessel segmentation which comprises 45 images and is organized as 15 subsets. …
The IRFL dataset consists of idioms, similes, and metaphors with matching figurative and literal images, as well as two novel …
The goal for ISIC 2019 is classify dermoscopic images among nine different diagnostic categories.25,331 images are available for training across …
This dataset was presented as part of the ICLR 2023 paper 𝘈 𝘧𝘳𝘢𝘮𝘦𝘸𝘰𝘳𝘬 𝘧𝘰𝘳 𝘣𝘦𝘯𝘤𝘩𝘮𝘢𝘳𝘬𝘪𝘯𝘨 𝘊𝘭𝘢𝘴𝘴-𝘰𝘶𝘵-𝘰𝘧-𝘥𝘪𝘴𝘵𝘳𝘪𝘣𝘶𝘵𝘪𝘰𝘯 𝘥𝘦𝘵𝘦𝘤𝘵𝘪𝘰𝘯 𝘢𝘯𝘥 𝘪𝘵𝘴 𝘢𝘱𝘱𝘭𝘪𝘤𝘢𝘵𝘪𝘰𝘯 …
Dataset Introduction In this work, we introduce the In-Diagram Logic (InDL) dataset, an innovative resource crafted to rigorously evaluate the …
This data set comprises 22 fundus images with their corresponding manual annotations for the blood vessels, separated as arteries and …
The Liver-US dataset is a comprehensive collection of high-quality ultrasound images of the liver, including both normal and abnormal cases. …
The minimalist histopathology image analysis dataset (MHIST) is a binary classification dataset of 3,152 fixed-size images of colorectal polyps, each …
The process by which sections in a document are demarcated and labeled is known as section identification. Such sections are …
MixedWM38 Dataset(WaferMap) has more than 38000 wafer maps, including 1 normal pattern, 8 single defect patterns, and 29 mixed defect …
Early detection of retinal diseases is one of the most important means of preventing partial or permanent blindness in patients. …
A large real-world event-based dataset for object classification. Source: HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classification
The N-ImageNet dataset is an event-camera counterpart for the ImageNet dataset. The dataset is obtained by moving an event camera …
The RITE (Retinal Images vessel Tree Extraction) is a database that enables comparative studies on segmentation or classification of arteries …
he RSSCN7 dataset contains satellite images acquired from Google Earth, which is originally collected for remote sensing scene classification. We …
The Recognizing Textual Entailment (RTE) datasets come from a series of textual entailment challenges. Data from RTE1, RTE2, RTE3 and …
The Schema-Guided Dialogue (SGD) dataset consists of over 20k annotated multi-domain, task-oriented conversations between a human and a virtual assistant. …
This dataset is based on the Spiking Heidelberg Digits (SHD) dataset. Sample inputs consist of two spike encoded digits sampled …
The SPOTS-10 dataset is an extensive collection of grayscale images showcasing diverse patterns found in ten animal species. Specifically, SPOTS-10 …
The Stanford Sentiment Treebank is a corpus with fully labeled parse trees that allows for a complete analysis of the …
Sentiment140 is a dataset that allows you to discover the sentiment of a brand, product, or topic on Twitter. Source: …
This dataset consists of computer-generated images for gas leakage segmentation. It features diverse backgrounds, interfering foreground objects, and precise ground …
arxiv : https://arxiv.org/abs/2304.11708 Accepted at 29th International Congress on Sound and Vibration (ICSV29). The drone has been used for various …
Table-ACM12K (TACM12K) is a relational table dataset derived from the ACM heterogeneous graph dataset. It includes four tables: papers, authors, …
Table-LastFm2K (TLF2K) is a relational table dataset derived from the classical LastFM2K dataset. It contains three tables: artists, user_artists, and …
Table-MovieLens1M (TML1M) is a relational table dataset derived from the classical MovieLens1M dataset. It consists of three tables: users, movies, …
The Winograd Schema Challenge was introduced both as an alternative to the Turing Test and as a test of a …
WiC is a benchmark for the evaluation of context-sensitive word embeddings. WiC is framed as a binary classification task. Each …
Enlarge the dataset to understand how image background effect the Computer Vision ML model. With the following topics: Blur Background …
We introduce the Clothing Attribute Dataset for promoting research in learning visual attributes for objects. The dataset contains 1856 images, …
Colorization validation set for unconditional/conditional colorization tasks. Subset of the ImageNet validation images and excludes andy grayscale single-channel images.
Composed Image Retrieval (or, Image Retreival conditioned on Language Feedback) is a relatively new retrieval task, where an input query …
Fashion IQ support and advance research on interactive fashion image retrieval. Fashion IQ is the first fashion dataset to provide …
The Set5 dataset is a dataset consisting of 5 images (“baby”, “bird”, “butterfly”, “head”, “woman”) commonly used for testing performance …
Animals with Attributes 2 (AwA2) is a dataset for benchmarking transfer-learning algorithms, such as attribute base classification and zero-shot learning. …
The Caltech-UCSD Birds-200-2011 (CUB-200-2011) dataset is the most widely-used dataset for fine-grained visual categorization task. It contains 11,788 images of …
CelebFaces Attributes dataset contains 202,599 face images of the size 178×218 from 10,177 celebrities, each annotated with 40 binary labels …
We introduce ArtBench-10, the first class-balanced, high-quality, cleanly annotated, and standardized dataset for benchmarking artwork generation. It comprises 60,000 images …
The CIFAR-10 database (Canadian Institute For Advanced Research database) is a large collection of natural color images. It has a …
The CIFAR-100 dataset (Canadian Institute for Advanced Research, 100 classes) is a subset of the Tiny Images dataset and consists …
CelebAMask-HQ is a large-scale face image dataset that has 30,000 high-resolution face images selected from the CelebA dataset by following …
ImageNet Long-Tailed is a subset of /dataset/imagenet dataset consisting of 115.8K images from 1000 categories, with maximally 1280 images per …
Tiny ImageNet contains 100000 images of 200 classes (500 for each class) downsized to 64×64 colored images. Each class has …
This dataset has 20 classes and each class has about 1000 documents. The data split for train/validation/test is 1600/200/200. We …
AIDS is a graph dataset. It consists of 2000 graphs representing molecular compounds which are constructed from the AIDS Antiviral …
A set of 10 DSC datasets (reviews of 10 products) to produce sequences of tasks. The products are Sports, Toys, …
F-CelebA - This dataset is adapted from federated learning. Federated learning is an emerging machine learning paradigm with an emphasis …
Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …
Permuted MNIST is an MNIST variant that consists of 70,000 images of handwritten digits from 0 to 9, where 60,000 …
The ADE20K semantic segmentation dataset contains more than 20K scene-centric images exhaustively annotated with pixel-level objects and object parts labels. …
We present a database for research on affect, personality traits and mood by means of neuro-physiological signals. Different to other …
Description: 10,000 People - Human Pose Recognition Data. This dataset includes indoor and outdoor scenes.This dataset covers males and females. …
The availability of well-curated datasets has driven the success of Machine Learning (ML) models. Despite greater access to earth observation …
Eurosat is a dataset and deep learning benchmark for land use and land cover classification. The dataset is based on …
The Places dataset is proposed for scene recognition and contains more than 2.5 million images covering more than 205 scene …
The CUHK-PEDES dataset is a caption-annotated pedestrian dataset. It contains 40,206 images over 13,003 persons. Images are collected from five …
Dataset contains 33,010 molecule-description pairs split into 80\%/10\%/10\% train/val/test splits. The goal of the task is to retrieve the relevant …
The Flickr30k dataset contains 31,000 images collected from Flickr, together with 5 reference sentences provided by human annotators. Source: [Guiding …
Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …
The Remote Sensing Image Captioning Dataset (RSICD) is a dataset for remote sensing image captioning task. It contains more than …
Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …
Recipe1M+ is a dataset which contains one million structured cooking recipes with 13M associated images. Source: [Recipe1M+: A Dataset for …
SoundingEarth consists of co-located aerial imagery and audio samples all around the world.
The CIFAR-10 database (Canadian Institute For Advanced Research database) is a large collection of natural color images. It has a …
The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the …
Using the proposed beam-splitter acquisition system, we have collected a new real-world video deblurring dataset (BSD). We collected blurry/sharp video …
The GoPro dataset for deblurring consists of 3,214 blurred images with the size of 1,280×720 that are divided into 2,103 …
Consists of 8,422 blurry and sharp image pairs with 65,784 densely annotated FG human bounding boxes. Source: Human-Aware Motion Deblurring
Qualitative dataset with real blurred videos, created by using beam-splitter setup in lab environment
The realistic and dynamic scenes (REDS) dataset was proposed in the NTIRE19 Challenge. The dataset is composed of 300 video …
The RSBlur dataset provides pairs of real and synthetic blurred images with ground truth sharp images. The dataset enables the …
The quality of AI-generated images has rapidly increased, leading to concerns of authenticity and trustworthiness. CIFAKE is a dataset that …
The DFDC (Deepfake Detection Challenge) is a dataset for deepface detection consisting of more than 100,000 videos. The DFDC dataset …
FaceForensics is a video dataset consisting of more than 500,000 frames containing faces from 1004 videos that can be used …
FaceForensics++ is a forensics dataset consisting of 1000 original video sequences that have been manipulated with four automated face manipulation …
FakeAVCeleb is a novel Audio-Video Deepfake dataset that not only contains deepfake videos but respective synthesized cloned audios as well. …
Localized Audio Visual DeepFake Dataset (LAV-DF). Paper: Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method …
A large-scale benchmark with 1605 high-resolution, well-annotated images, featuring more complex scenes and a wider range of DOF settings.
DIV2K is a popular single-image super-resolution dataset which contains 1,000 images with different scenes and is splitted to 800 for …
Benchmarking Denoising Algorithms with Real Photographs This dataset consists of 50 pairs of noisy and (nearly) noise-free images captured with …
the dataset contains data about hydrogen storage in metal hydrides
The Iris flower data set or Fisher's Iris data set is a multivariate data set introduced by the British statistician, …
Visual Genome contains Visual Question Answering data in a multi-choice setting. It consists of 101,174 images from MSCOCO with 1.7 …
ETHD is a multi-view stereo benchmark / 3D reconstruction benchmark that covers a variety of indoor and outdoor scenes. Ground …
The HPatches is a recent dataset for local patch descriptor evaluation that consists of 116 sequences of 6 images with …
The ActivityNet Captions dataset is built on ActivityNet v1.3 which includes 20k YouTube untrimmed videos with 100k caption annotations. The …
The ViTT dataset consists of human produced segment-level annotations for 8,169 videos. Of these, 5,840 videos have been annotated once, …
YouCook2 is the largest task-oriented, instructional video dataset in the vision community. It contains 2000 long untrimmed videos from 89 …
KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) is one of the most popular datasets for use in mobile …
The Matterport3D dataset is a large RGB-D dataset for scene understanding in indoor environments. It contains 10,800 panoramic views inside …
PLAD is a dataset where sparse depth is provided by line-based visual SLAM to verify StructMDC.
The dataset was collected using the Intel RealSense D435i camera, which was configured to produce synchronized accelerometer and gyroscope measurements …
The DCM dataset is composed of 772 annotated images from 27 golden age comic books. We freely collected them from …
Diode Dense Indoor/Outdoor DEpth (DIODE) is the first standard dataset for monocular depth estimation comprising diverse indoor and outdoor scenes …
The Matterport3D dataset is a large RGB-D dataset for scene understanding in indoor environments. It contains 10,800 panoramic views inside …
ScanNet is an instance-level indoor RGB-D dataset that includes both 2D and 3D data. It is a collection of labeled …
Taskonomy provides a large and high-quality dataset of varied indoor scenes. - Complete pixel-level geometric information via aligned meshes. - …
The eBDtheque database is a selection of one hundred comic pages from America, Japan (manga) and Europe. Image source: http://ebdtheque.univ-lr.fr/database/
EPHOIE is a fully-annotated dataset which is the first Chinese benchmark for both text spotting and visual information extraction. EPHOIE …
The RVL-CDIP dataset consists of scanned document images belonging to 16 classes such as letter, form, email, resume, memo, etc. …
The Tobacco-3482 dataset consists of document images belonging to 10 classes such as letter, form, email, resume, memo, etc. The …
The D4LA dataset is a diverse benchmark for document layout analysis (DLA) derived from the RVL-CDIP dataset. It focuses on …
The RVL-CDIP dataset consists of scanned document images belonging to 16 classes such as letter, form, email, resume, memo, etc. …
U-DIADS-Bib is a proprietary dataset developed through the collaboration of computer scientists and humanities at the University of Udine. It …
The Tobacco-3482 dataset consists of document images belonging to 10 classes such as letter, form, email, resume, memo, etc. The …
The goal of this project is to present two new datasets that seek to expand the capability of the Learning …
Comic2k is a dataset used for cross-domain object detection which contains 2k comic images with image and instance-level annotations. Image …
DomainNet is a dataset of common objects in six different domain. All domains include 345 categories (classes) of objects such …
Foggy Cityscapes is a synthetic foggy dataset which simulates fog on real scenes. Each foggy image is rendered with a …
The ImageCLEF-DA dataset is a benchmark dataset for ImageCLEF 2014 domain adaptation challenge, which contains three domains: Caltech-256 (C), ImageNet …
The LeukemiaAttri dataset is a large-scale, multi-domain collection of microscopy images derived from leukemia patient samples, enriched with detailed morphological …
Dataset release for the BMVC 2021 Paper "Few-Shot Domain Adaptation for Low Light RAW Image Enhancement" Abstract: Enhancing practical low …
The Office dataset contains 31 object categories in three domains: Amazon, DSLR and Webcam. The 31 categories in the dataset …
Office-Caltech-10 a standard benchmark for domain adaptation, which consists of Office 10 and Caltech 10 datasets. It contains the 10 …
Office-Home is a benchmark dataset for domain adaptation which contains 4 domains where each domain consists of 65 categories. The …
PACS is an image dataset for domain generalization. It consists of four domains, namely Photo (1,670 images), Art Painting (2,048 …
SIM10k is a synthetic dataset containing 10,000 images, which is rendered from the video game Grand Theft Auto V (GTA5). …
DomainNet is a dataset of common objects in six different domain. All domains include 345 categories (classes) of objects such …
The ImageNet-A dataset consists of real-world, unmodified, and naturally occurring examples that are misclassified by ResNet models. Source: [On Robustness …
ImageNet-C is an open source data set that consists of algorithmically generated corruptions (blur, noise) applied to the ImageNet test-set. …
ImageNet-R(endition) contains art, cartoons, deviantart, graffiti, embroidery, graphics, origami, paintings, patterns, plastic objects, plush objects, sculptures, sketches, tattoos, toys, and …
ImageNet-Sketch data set consists of 50,889 images, approximately 50 images for each of the 1000 ImageNet classes. The data set …
Office-Home is a benchmark dataset for domain adaptation which contains 4 domains where each domain consists of 65 categories. The …
PACS is an image dataset for domain generalization. It consists of four domains, namely Photo (1,670 images), Art Painting (2,048 …
Our goal is to improve upon the status quo for designing image classification models trained in one domain that perform …
WildDash is a benchmark evaluation method is presented that uses the meta-information to calculate the robustness of a given algorithm …
The George B. Moody PhysioNet Challenges are annual competitions that invite participants to develop automated approaches for addressing important physiological …
BRIND is a short name of BSDS-RIND is the first public benchmark that dedicated to studying simultaneously the four edge …
Berkeley Segmentation Data Set 500 (BSDS500) is a standard benchmark for contour detection. This dataset is designed for evaluating natural …
The CID (Campus Image Dataset) is a dataset captured in low-light env with the help of Android programming. Its basic …
In order to study the interaction of several early visual cues (luminance, color, stereo, motion) during boundary detection in challenging …
The Semantic Boundaries Dataset (SBD) is a dataset for predicting pixels on the boundary of the object (as opposed to …
This dataset is a collection of 1, 2, or 3 images from: BIPED, BSDS500, BSDS300, DIV2K, WIRE-FRAME, CID, CITYSCAPES, ADE20K, …
13,201 clips from 79 TV shows. Each video clip was manually annotated with six emotion categories, including “anger”, “disgust”, “fear”, …
CMU Multimodal Opinion Sentiment and Emotion Intensity (CMU-MOSEI) is the largest dataset of sentence-level sentiment analysis and emotion recognition in …
The MFA (Many Faces of Anger) dataset includes 200 in-the-wild videos from North American and Persian cultures with fine-grained labels …
ROCStories is a collection of commonsense short stories. The corpus consists of 100,000 five-sentence stories. Each story logically follows everyday …
The EMOTIC dataset, named after EMOTions In Context, is a database of images with people in real environments, annotated with …
1000 songs has been selected from Free Music Archive (FMA). The excerpts which were annotated are available in the same …
Fer2013 contains approximately 30,000 facial RGB images of different expressions with size restricted to 48×48, and the main labels of …
The MSP-Podcast corpus contains speech segments from podcast recordings which are perceptually annotated using crowdsourcing. The collection of this corpus …
The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) contains 7,356 files (total size: 24.8 GB). The database contains …
The SEED dataset contains subjects' EEG signals when they were watching films clips. The film clips are carefully selected so …
This corpus has been collected from free or free for research sources at the Internet: - A collection of 425 …
CIFAR10-DVS is an event-stream dataset for object classification. 10,000 frame-based images that come from CIFAR-10 dataset are converted into 10,000 …
Comprises 11 hand gesture categories from 29 subjects under 3 illumination conditions. Source: [A Low Power, Fully Event-Based Gesture Recognition …
The Neuromorphic-Caltech101 (N-Caltech101) dataset is a spiking version of the original frame-based Caltech101 dataset. The original dataset contained both a …
Alzheimer's Disease Neuroimaging Initiative (ADNI) is a multisite study that aims to improve clinical trials for the prevention and treatment …
A GQA-based dataset with 1,040,830 multi-modal explanations of visual reasoning processes.
The LFW dataset contains 13,233 images of faces collected from the web. This dataset consists of the 5749 identities with …
The ADE20K semantic segmentation dataset contains more than 20K scene-centric images exhaustively annotated with pixel-level objects and object parts labels. …
COCO-WholeBody is an extension of COCO dataset with whole-body annotations. There are 4 types of bounding boxes (person box, face …
The DCM dataset is composed of 772 annotated images from 27 golden age comic books. We freely collected them from …
The Face Detection Dataset and Benchmark (FDDB) dataset is a collection of labeled faces from Faces in the Wild dataset. …
Manga109 has been compiled by the Aizawa Yamasaki Matsui Laboratory, Department of Information and Communication Engineering, the Graduate School of …
The PASCAL FACE dataset is a dataset for face detection and face recognition. It has a total of 851 images …
The iCartoonFace dataset is a large-scale dataset that can be used for two different tasks: cartoon face detection and cartoon …
The color FERET database is a dataset for face recognition. It contains 11,338 color images of size 512×768 pixels captured …
The LFW dataset contains 13,233 images of faces collected from the web. This dataset consists of the 5749 identities with …
Matanga Darknet — 2025 Access Guide As internet censorship intensifies, Shadow Marketplaces remain crucial tools for anonymous transactions. Matanga Darknet …
Large, multimodal biometric dataset: It contains still images and videos of over 1,000 people captured at various ranges (up to …
A renovation of Labeled Faces in the Wild (LFW), the de facto standard testbed for unconstraint face verification. Source: CALFW
The COVID-19 pandemic raises the problem of adapting face recognition systems to the new reality, where people may wear surgical …
A renovation of Labeled Faces in the Wild (LFW), the de facto standard testbed for unconstraint face verification. There are …
The COVID-19 pandemic raises the problem of adapting face recognition systems to the new reality, where people may wear surgical …
The color FERET database is a dataset for face recognition. It contains 11,338 color images of size 512×768 pixels captured …
The IJB-B dataset is a template-based face dataset that contains 1845 subjects with 11,754 images, 55,025 frames and 7,011 videos …
The LFW dataset contains 13,233 images of faces collected from the web. This dataset consists of the 5749 identities with …
During the COVID-19 coronavirus epidemic, almost everyone wears a facial mask, which poses a huge challenge to face recognition. Traditional …
The Masked LFW (MLFW), based on Cross-Age LFW (CALFW) database, is built using a simple but effective tool that generates …
MORPH is a facial age estimation dataset, which contains 55,134 facial images of 13,617 subjects ranging from 16 to 77 …
An evaluation protocol for face verification focusing on a large intra-pair image quality difference. Real-world face recognition applications often deal …
Matanga Darknet — 2025 Access Guide As internet censorship intensifies, Shadow Marketplaces remain crucial tools for anonymous transactions. Matanga Darknet …
Large, multimodal biometric dataset: It contains still images and videos of over 1,000 people captured at various ranges (up to …
A renovation of Labeled Faces in the Wild (LFW), the de facto standard testbed for unconstraint face verification. Source: CALFW
The Extended Cohn-Kanade (CK+) dataset contains 593 video sequences from a total of 123 different subjects, ranging from 18 to …
A renovation of Labeled Faces in the Wild (LFW), the de facto standard testbed for unconstraint face verification. There are …
The IARPA Janus Benchmark A (IJB-A) database is developed with the aim to augment more challenges to the face recognition …
The IJB-B dataset is a template-based face dataset that contains 1845 subjects with 11,754 images, 55,025 frames and 7,011 videos …
The IJB-C dataset is a video-based face recognition dataset. It is an extension of the IJB-A dataset with about 138,000 …
Paper Abstract We present IJB–S dataset, an open-source IARPA Janus Surveillance Video Benchmark and associated protocols. The dataset consists of …
The LFW dataset contains 13,233 images of faces collected from the web. This dataset consists of the 5749 identities with …
MegaFace was a publicly available dataset which is used for evaluating the performance of face recognition algorithms with up to …
The Oulu-CASIA NIR&VIS facial expression database consists of six expressions (surprise, happiness, sadness, anger, fear and disgust) from 80 people …
Aff-Wild2 is a large-scale in-the-wild database and an extension of the Aff-Wild dataset for affect recognition. It approximately doubles the …
AffectNet is a large facial expression dataset with around 0.4 million images manually labeled for the presence of eight (neutral, …
CMU Multimodal Opinion Sentiment and Emotion Intensity (CMU-MOSEI) is the largest dataset of sentence-level sentiment analysis and emotion recognition in …
The FER+ dataset is an extension of the original FER dataset, where the images have been re-labelled into one of …
Fer2013 contains approximately 30,000 facial RGB images of different expressions with size restricted to 48×48, and the main labels of …
Multimodal EmotionLines Dataset (MELD) has been created by enhancing and extending EmotionLines dataset. MELD contains the same dialogue instances available …
The Real-world Affective Faces Database (RAF-DB) is a dataset for facial expression. It contains 29672 facial images tagged with basic …
Acted Facial Expressions In The Wild (AFEW) is a dynamic temporal facial expressions data corpus consisting of close to real …
Aff-Wild2 is a large-scale in-the-wild database and an extension of the Aff-Wild dataset for affect recognition. It approximately doubles the …
AffectNet is a large facial expression dataset with around 0.4 million images manually labeled for the presence of eight (neutral, …
The BP4D-Spontaneous dataset is a 3D video database of spontaneous facial expressions in a diverse group of young adults. Well-validated …
The Extended Cohn-Kanade (CK+) dataset contains 593 video sequences from a total of 123 different subjects, ranging from 18 to …
The Denver Intensity of Spontaneous Facial Action (DISFA) dataset consists of 27 videos of 4844 frames each, with 130,788 images …
The Expression in-the-Wild (ExpW) dataset is for facial expression recognition and contains 91,793 faces manually labeled with expressions. Each of …
The FER+ dataset is an extension of the original FER dataset, where the images have been re-labelled into one of …
Fer2013 contains approximately 30,000 facial RGB images of different expressions with size restricted to 48×48, and the main labels of …
FERG is a database of cartoon characters with annotated facial expressions containing 55,769 annotated face images of six characters. The …
The JAFFE dataset consists of 213 images of different facial expressions from 10 different Japanese female subjects. Each subject was …
The MMI Facial Expression Database consists of over 2900 videos and high-resolution still images of 75 subjects. It is fully …
The Oulu-CASIA NIR&VIS facial expression database consists of six expressions (surprise, happiness, sadness, anger, fear and disgust) from 80 people …
The Real-world Affective Faces Database (RAF-DB) is a dataset for facial expression. It contains 29672 facial images tagged with basic …
The Radboud Faces Database (RaFD) is a set of pictures of 67 models (both adult and children, males and females) …
The Static Facial Expressions in the Wild (SFEW) dataset is a dataset for facial expression recognition. It was created by …
The 300-W is a face dataset that consists of 300 Indoor and 300 Outdoor in-the-wild images. It covers a large …
AFLW2000-3D is a dataset of 2000 images that have been annotated with image-level 68-point 3D facial landmarks. This dataset is …
COCO-WholeBody is an extension of COCO dataset with whole-body annotations. There are 4 types of bounding boxes (person box, face …
The Caltech Occluded Faces in the Wild (COFW) dataset is designed to present faces in real-world conditions. Faces show large …
The Cat Facial Landmarks in the Wild (CatFLW) dataset contains 2079 images of cats' faces in various environments and conditions, …
The Wider Facial Landmarks in the Wild or WFLW database contains 10000 faces (7500 for training and 2500 for testing) …
A new face annotation dataset with balanced distribution between genders and ethnic origins. Source: [SensitiveNets: Learning Agnostic Representations with Application …
MORPH is a facial age estimation dataset, which contains 55,134 facial images of 13,617 subjects ranging from 16 to 77 …
The UTKFace dataset is a large-scale face dataset with long age span (range from 0 to 116 years old). The …
Bongard-HOI testifies to which extent your few-shot visual learner can quickly induce the true HOI concept from a handful of …
The Meta-Dataset benchmark is a large few-shot learning benchmark and consists of multiple datasets of different data distributions. It does …
Oxford 102 Flower is an image classification dataset consisting of 102 flower categories. The flowers chosen to be flower commonly …
UT Zappos50K is a large shoe dataset consisting of 50,025 catalog images collected from Zappos.com. The images are divided into …
CaseHOLD (Case Holdings On Legal Decisions) is a law dataset comprised of over 53,000+ multiple choice questions to identify the …
The Describable Textures Dataset (DTD) contains 5640 texture images in the wild. They are annotated with human-centric attributes inspired by …
Eurosat is a dataset and deep learning benchmark for land use and land cover classification. The dataset is based on …
"We built a large lung CT scan dataset for COVID-19 by curating data from 7 public datasets listed in the …
MR Movie Reviews is a dataset for use in sentiment-analysis experiments. Available are collections of movie-review documents labeled with respect …
Microsoft Research Paraphrase Corpus (MRPC) is a corpus consists of 5,801 sentence pairs collected from newswire articles. Each pair is …
MedConceptsQA - Open Source Medical Concepts QA Benchmark The benchmark can be found here: https://huggingface.co/datasets/ofir408/MedConceptsQA
The MedNLI dataset consists of the sentence pairs developed by Physicians from the Past Medical History section of MIMIC-III clinical …
The task of PubMedQA is to answer research questions with yes/no/maybe (e.g.: Do preoperative statins reduce atrial fibrillation after coronary …
The Scene UNderstanding (SUN) database contains 899 categories and 130,519 images. There are 397 well-sampled categories to evaluate numerous state-of-the-art …
The Stanford Cars dataset consists of 196 classes of cars with a total of 16,185 images, taken from the rear. …
UCF101 dataset is an extension of UCF50 and consists of 13,320 video clips, which are classified into 101 categories. These …
CAMO-FS Dataset comes with the paper entitled The Art of Camouflage: Few-shot Learning for Animal Detection and Segmentation. DOI: https://doi.org/10.1109/ACCESS.2024.3432873 …
FSS-1000 is a 1000 class dataset for few-shot segmentation. The dataset contains significant number of objects that have never been …
Birdsnap is a large bird dataset consisting of 49,829 images from 500 bird species with 47,386 images used for training …
The Caltech-UCSD Birds-200-2011 (CUB-200-2011) dataset is the most widely-used dataset for fine-grained visual categorization task. It contains 11,788 images of …
The Caltech101 dataset contains images from 101 object categories (e.g., “helicopter”, “elephant” and “chair” etc.) and a background category that …
The Comprehensive Cars (CompCars) dataset contains data from two scenarios, including images from web-nature and surveillance-nature. The web-nature data contains …
Is a challenging image dataset which has more than 10 thousand different types of birds. It was created to enable …
The Food-101 dataset consists of 101 food categories with 750 training and 250 test images per category, making a total …
The Herbarium Half-Earth dataset is a large and diverse dataset of herbarium specimens to date for automatic taxon recognition. The …
The Herbarium 2022: Flora of North America is a part of a project of the New York Botanical Garden funded …
Kuzushiji-MNIST is a drop-in replacement for the MNIST dataset (28x28 grayscale, 70,000 images). Since MNIST restricts us to 10 classes, …
The MNIST database (Modified National Institute of Standards and Technology database) is a large collection of handwritten digits. It has …
NABirds V1 is a collection of 48,000 annotated photographs of the 400 species of birds that are commonly observed in …
The Oxford-IIIT Pet Dataset has 37 categories with roughly 200 images for each class. The images have a large variations …
The Oxford-IIIT Pet Dataset is a 37-category pet dataset with roughly 200 images for each class. The images have large …
The exact pre-processing steps used to construct the MNIST dataset have long been lost. This leaves us with no reliable …
The STL-10 is an image dataset derived from ImageNet and popularly used to evaluate algorithms of unsupervised feature learning or …
The Scene UNderstanding (SUN) database contains 899 categories and 130,519 images. There are 397 well-sampled categories to evaluate numerous state-of-the-art …
The Stanford Cars dataset consists of 196 classes of cars with a total of 16,185 images, taken from the rear. …
The Stanford Dogs dataset contains 20,580 images of 120 classes of dogs from around the world, which are divided into …
The iNaturalist 2017 dataset (iNat) contains 675,170 training and validation images from 5,089 natural fine-grained categories. Those categories belong to …
Subset of AdobeVFR. The dataset contains "real-world text images". > We collected 201,780 text images from various typography forums, where …
Subset of AdobeVFR. The dataset contains images depicting English text and consists of 1000 synthetic images for training and 100 …
Explor_all font image dataset https://drive.google.com/file/d/1P2DbNbVw4Q__WcV1YdzE7zsDKilmd3pO/view
Persian Font Recognition (PFR) A dataset in order to solve font recognition for the Persian language. This dataset is part …
Persian Text Image Segmentation (PTI SEG) This dataset is part of a paper titled "Persis: A Persian Font Recognition Pipeline …
325 word images intended for font recognition, whose fonts are included in [VFR-447] (and [VFR-2420]). > (...) 325 real world …
Ego4D is a massive-scale egocentric video dataset and benchmark suite. It offers 3,025 hours of daily life activity video spanning …
Gait3D is a large-scale 3D representation-based gait recognition dataset. It contains 4,000 subjects and over 25,000 sequences extracted from 39 …
The OU-ISIR Gait Database, Multi-View Large Population Dataset (OU-MVLP) is meant to aid research efforts in the general area of …
Consists of over one million high-resolution images of varying gaze under extreme head poses. The dataset is collected from 110 …
Understanding where people are looking is an informative social cue. In this work, we present Gaze360, a large-scale gaze-tracking dataset …
From scientific research to commercial applications, eye tracking is an important tool across many domains. Despite its range of applications, …
This is a synthetic dataset containing full images (instead of only cropped faces) that provides ground truth 3D gaze directions …
GazeFollow is a large-scale dataset annotated with the location of where people in images are looking. It uses several major …
A dataset with fully annotated attention targets in video for attention target estimation.
gRefCOCO is the first large-scale Generalized Referring Expression Segmentation dataset that contains multi-target, no-target, and single-target expressions.
Objaverse is a large dataset of objects with 800K+ (and growing) 3D models with descriptive captions, tags, and animations. Objaverse …
The HPatches is a recent dataset for local patch descriptor evaluation that consists of 116 sequences of 6 images with …
Comprises 11 hand gesture categories from 29 subjects under 3 illumination conditions. Source: [A Low Power, Fully Event-Based Gesture Recognition …
The Microsoft Research Cambridge-12 Kinect gesture data set consists of sequences of human movements, represented as body-part locations, and the …
The nuScenes dataset is a large-scale autonomous driving dataset. The dataset has 3D bounding boxes for 1000 scenes collected in …
The 3D Poses in the Wild dataset is the first dataset in the wild with accurate 3D poses for evaluation. …
COCO-WholeBody is an extension of COCO dataset with whole-body annotations. There are 4 types of bounding boxes (person box, face …
A dataset with 3200 images (200 for each number quantity on each hand).
Includes 100K depth images under challenging scenarios. Source: Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning
Data collection: Finding a suitable source of data is considered a first step toward building a database. The first step …
Kazakh offline Handwritten Text dataset (KOHTD) has 3000 handwritten exam papers and more than 140335 segmented images and there are …
The AND Dataset contains 13700 handwritten samples and 15 corresponding expert examined features for each sample. The dataset is released …
CEDAR Signature is a database of off-line signatures for signature verification. Each of 55 individuals contributed 24 signatures thereby creating …
Bentham manuscripts refers to a large set of documents that were written by the renowned English philosopher and reformer Jeremy …
Digital Peter is a dataset of Peter the Great's manuscripts annotated for segmentation and text recognition. The dataset may be …
The database is written in Cyrillic and shares the same 33 characters. Besides these characters, the Kazakh alphabet also contains …
The IAM database contains 13,353 images of handwritten lines of text created by 657 writers. The texts those writers transcribed …
The IAM database contains 13,353 images of handwritten lines of text created by 657 writers. The texts those writers transcribed …
Handwritten Text Recognition (HTR) is an open problem at the intersection of Computer Vision and Natural Language Processing. The main …
This dataset arises from the READ project (Horizon 2020). The dataset consists of a subset of documents from the Ratsprotokolle …
This dataset arises from the READ project (Horizon 2020). The dataset consists of a subset of documents from the Ratsprotokolle …
Saint Gall dataset contains handwritten historical manuscripts written in Latin that date back to the 9th century. It consists of …
HierText is the first dataset featuring hierarchical annotations of text in natural scenes and documents. The dataset contains 11639 images …
The Query-based Video Highlights (QVHighlights) dataset is a dataset for detecting customized moments and highlights from videos given natural language …
Introduced by Song et al. in TVSum: Summarizing web videos using titles. The TVSum dataset comprises 50 videos, with durations …
Unsustainable fishing practices worldwide pose a major threat to marine resources and ecosystems. Identifying vessels that do not show up …
This dataset focuses on heavily occluded human with comprehensive annotations including bounding-box, humans pose and instance mask. This dataset contains …
EPIC-SOUNDS is a large scale dataset of audio annotations capturing temporal extents and class labels within the audio stream of …
NTU RGB+D is a large-scale dataset for RGB-D human action recognition. It involves 56,880 samples of 60 action classes collected …
NTU RGB+D 120 is a large-scale dataset for RGB+D human action recognition, which is collected from 106 distinct subjects and …
SBU-Kinect-Interaction dataset version 2.0 comprises of RGB-D video sequences of humans performing interaction activities that are recording using the Microsoft …
The UT-Interaction dataset contains videos of continuous executions of 6 classes of human-human interactions: shake-hands, point, hug, push, kick and …
BEDLAM is a large-scale synthetic video dataset designed to train and test algorithms on the task of 3D human pose …
4D-DRESS is the first real-world 4D dataset of human clothing, capturing 64 human outfits in more than 520 motion sequences. …
The PASCAL Context dataset is an extension of the PASCAL VOC 2010 detection challenge, and it contains pixel-wise labels for …
The Crowd Instance-level Human Parsing (CIHP) dataset has 38,280 diverse human images. Each image in CIHP is labeled with pixel-wise …
The Human3.6M dataset is one of the largest motion capture datasets, which consists of 3.6 million human poses and corresponding …
PASCAL-Part is a set of additional annotations for PASCAL VOC 2010. It goes beyond the original PASCAL object detection task …
The Human3.6M dataset is one of the largest motion capture datasets, which consists of 3.6 million human poses and corresponding …
HumanAct12 is a new 3D human motion dataset adopted from the polar image and 3D pose dataset PHSPD, with proper …
NTU RGB+D is a large-scale dataset for RGB-D human action recognition. It involves 56,880 samples of 60 action classes collected …
NTU RGB+D 120 is a large-scale dataset for RGB+D human action recognition, which is collected from 106 distinct subjects and …
NTU RGB+D 2D is a curated version of NTU RGB+D often used for skeleton-based action prediction and synthesis. It contains …
UESTC RGB-D Varying-view action database contains 40 categories of aerobic exercise. We utilized 2 Kinect V2 cameras in 8 fixed …
VidHOI is a video-based human-object interaction detection benchmark. VidHOI is based on VidOR which is densely annotated with all humans …
HICO-DET is a dataset for detecting human-object interactions (HOI) in images. It contains 47,776 images (38,118 in train set and …
HICO is a benchmark for recognizing human-object interactions (HOI). Key features: - A diverse set of interactions with common object …
HICO-DET is a dataset for detecting human-object interactions (HOI) in images. It contains 47,776 images (38,118 in train set and …
The MECCANO dataset is the first dataset of egocentric videos to study human-object interactions in industrial-like settings. The MECCANO dataset …
Verbs in COCO (V-COCO) is a dataset that builds off COCO for human-object interaction detection. V-COCO provides 10,346 images (2,533 …
VidHOI is a video-based human-object interaction detection benchmark. VidHOI is based on VidOR which is densely annotated with all humans …
The Caltech-UCSD Birds-200-2011 (CUB-200-2011) dataset is the most widely-used dataset for fine-grained visual categorization task. It contains 11,788 images of …
CelebFaces Attributes dataset contains 202,599 face images of the size 178×218 from 10,177 celebrities, each annotated with 40 binary labels …
VGGFace2 is a large-scale face recognition dataset. Images are downloaded from Google Image Search and have large variations in pose, …
This dataset consists of images and annotations in Bengali. The images are human annotated in Bengali by two adult native …
The COCO (Common Objects in Context) dataset is a large-scale object detection, segmentation, and captioning dataset. It is designed to …
COCO Captions contains over one and a half million captions describing over 330,000 images. For the training and validation images, …
Dataset contains 33,010 molecule-description pairs split into 80\%/10\%/10\% train/val/test splits. The goal of the task is to retrieve the relevant …
Automatic image captioning is the task of producing a natural-language utterance (usually a sentence) that correctly reflects the visual content …
FlickrStyle10K is collected and built on Flickr30K image caption dataset. The original FlickrStyle10K dataset has 10,000 pairs of images and …
IU X-ray (Demner-Fushman et al., 2016) is a set of chest X-ray images paired with their corresponding diagnostic reports. The …
We propose Localized Narratives, a new form of multimodal image annotations connecting vision and language. We ask annotators to describe …
Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …
Object HalBench is a benchmark used to evaluate the performance of Language Models, particularly those that are multimodal (i.e., they …
Peir Gross (Jing et al., 2018) was collected with descriptions in the Gross sub-collection from PEIR digital library, resulting in …
SCICAP is a large-scale image captioning dataset that contains real-world scientific figures and captions. SCICAP was constructed using more than …
WHOOPS! Is a dataset and benchmark for visual commonsense. The dataset is comprised of purposefully commonsense-defying images created by designers …
Dataset aimed to do automated aerial scene classification of disaster events from on-board a UAV. Source: [Deep-Learning-Based Aerial Image Classification …
The dataset contains aerial images containing three commonly occurring natural disasters earthquake/collapsed buildings, flood, wildfire/fire, and a normal class; do …
AmsterTime dataset offers a collection of 2,500 well-curated images matching the same scene from a street view matched to historical …
ArtDL is a novel painting data set for iconography classification composed of images collected from online sources. Most of the …
The Breast Cancer Histopathological Image Classification (BreakHis) is composed of 9,109 microscopic images of breast tumor tissue collected from 82 …
The CIFAR-10 database (Canadian Institute For Advanced Research database) is a large collection of natural color images. It has a …
The CIFAR-100 dataset (Canadian Institute for Advanced Research, 100 classes) is a subset of the Tiny Images dataset and consists …
CINIC-10 is a dataset for image classification. It has a total of 270,000 images, 4.5 times that of CIFAR-10. It …
The Caltech-UCSD Birds-200-2011 (CUB-200-2011) dataset is the most widely-used dataset for fine-grained visual categorization task. It contains 11,788 images of …
Caltech-256 is an object recognition dataset containing 30,607 real-world images, of different sizes, spanning 257 classes (256 object classes and …
Update on 3DIdent, where we introduce six additional object classes (Hare, Dragon, Cow, Armadillo, Horse, and Head), and impose a …
Chaoyang dataset contains 1111 normal, 842 serrated, 1404 adenocarcinoma, 664 adenoma, and 705 normal, 321 serrated, 840 adenocarcinoma, 273 adenoma …
Clothing1M contains 1M clothing images in 14 classes. It is a dataset with noisy labels, since the data is collected …
ColonINST is a large-scale instruction tuning dataset designed for multimodal analysis in colonoscopy. This dataset comprises 62 categories, 303,001 colonoscopy …
ColonINST is a large-scale instruction tuning dataset designed for multimodal analysis in colonoscopy. This dataset comprises 62 categories, 303,001 colonoscopy …
This is a dataset with spurious correlations which can be used to evaluate machine learning methods for out-of-distribution generalization, causal …
Danish Fungi 2020 (DF20) is a fine-grained dataset and benchmark. The dataset, constructed from observations submitted to the Danish Fungal …
Danish Fungi 2020 (DF20) is a novel fine-grained dataset and benchmark. The dataset, constructed from observations submitted to the Danish …
The Describable Textures Dataset (DTD) contains 5640 texture images in the wild. They are annotated with human-centric attributes inspired by …
Comprises 11 hand gesture categories from 29 subjects under 3 illumination conditions. Source: [A Low Power, Fully Event-Based Gesture Recognition …
The ESC-50 dataset is a labeled collection of 2000 environmental audio recordings suitable for benchmarking methods of environmental sound classification. …
Eurosat is a dataset and deep learning benchmark for land use and land cover classification. The dataset is based on …
A SAR version of the EuroSAT dataset. The images were collected from Sentinel-1 GRD products (two bands VV and VH) …
See paper: Caldas, Sebastian, et al. "Leaf: A benchmark for federated settings." arXiv preprint arXiv:1812.01097 (2018).
Sharan, Lavanya, Ruth Rosenholtz, and Edward Adelson. "Material perception: What can you see in a brief glance?." Journal of Vision …
Fashion-MNIST is a dataset comprising of 28×28 grayscale images of 70,000 fashion products from 10 categories, with 7,000 images per …
Object detection benchmark for logo detection. Images are natural scenes. Each image contains multiple objects, and each image has a …
The Food-101 dataset consists of 101 food categories with 750 training and 250 test images per category, making a total …
The Food-101N dataset is introduced in "CleanNet: Transfer Learning for Scalable Image Training with Label Noise (CVPR'18). It is an …
The German Traffic Sign Recognition Benchmark (GTSRB) contains 43 classes of traffic signs, split into 39,209 training images and 12,630 …
Four pathologists from Longhua Hospital Shanghai University of Traditional Chinese Medicine provide 600 images of gastric cancer pathology images at …
We construct Gaze-CIFAR-10, a gaze-augmented image dataset based on the standard CIFAR-10 benchmark, enhanced with human eye-tracking annotations collected using …
After defining a taxonomy of the main stone deterioration patterns and anomalies, we selected 354 highly representative images of stone-built …
The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the …
This split was introduced in TEMI (BMVC 2023) Adaloglou, Nikolas, Felix Michels, Hamza Kalisch, and Markus Kollmann. "Exploring the Limits …
Imagenet32 is a huge dataset made up of small images called the down-sampled version of Imagenet. Imagenet32 is composed of …
Imagenet64 is a massive dataset of small images called the down-sampled version of Imagenet. Imagenet64 comprises 1,281,167 training data and …
ImageNet-9 consists of images with different amounts of background and foreground signal, which you can use to measure the extent …
ImageNet-P consists of noise, blur, weather, and digital distortions. The dataset has validation perturbations; has difficulty levels; has CIFAR-10, Tiny …
ImageNet-Sketch data set consists of 50,889 images, approximately 50 images for each of the 1000 ImageNet classes. The data set …
Imagenette is a subset of 10 easily classified classes from Imagenet (bench, English springer, cassette player, chain saw, church, French …
Context This is image data of Natural Scenes around the world. Content This Data contains around 25k images of size …
JFT-300M is an internal Google dataset used for training image classification models. Images are labeled using an algorithm that uses …
The KTH-TIPS (Textures under varying Illumination, Pose and Scale) image database was created to extend the CUReT database in two …
Kuzushiji-MNIST is a drop-in replacement for the MNIST dataset (28x28 grayscale, 70,000 images). Since MNIST restricts us to 10 classes, …
The KVASIR Dataset was released as part of the medical multimedia challenge presented by MediaEval. It is based on images …
The LIMUC dataset is the largest publicly available labeled ulcerative colitis dataset that compromises 11276 images from 564 patients and …
LabelMe database is a large collection of images with ground truth labels for object detection and recognition. The annotations come …
It is composed of around 770k of color 256x256 RGB images extracted from the European Union Intellectual Property Office (EUIPO) …
The PlantVillage dataset, with over 54,000 images spanning 14 plant species and 26 disease types, has been widely used for …
The MAMe dataset contains images of high-resolution and variable shape of artworks from 3 different museums: - The Metropolitan Museum …
The MNIST database (Modified National Institute of Standards and Technology database) is a large collection of handwritten digits. It has …
The dataset contains a total of 27,558 cell images with equal instances of parasitized and uninfected cells. Source: Malaria Dataset
The MultiMNIST dataset is generated from MNIST. The training and tests are generated by overlaying a digit on top of …
The Neuromorphic-Caltech101 (N-Caltech101) dataset is a spiking version of the original frame-based Caltech101 dataset. The original dataset contained both a …
Brief Description The Neuromorphic-MNIST (N-MNIST) dataset is a spiking version of the original frame-based MNIST dataset. It consists of the …
The NCT-CRC-HE-100K dataset is a set of 100,000 non-overlapping image patches extracted from 86 H$\&$E stained human cancer tissue slides …
ObjectNet is a test set of images collected directly using crowd-sourcing. ObjectNet is unique as the objects are captured at …
Omni-Realm Benchmark (OmniBenchmark) is a diverse (21 semantic realm-wise datasets) and concise (realm-wise datasets have no concepts overlapping) benchmark for …
We introduce the Oracle-MNIST dataset, comprising of 2828 grayscale images of 30,222 ancient characters from 10 categories, for benchmarking pattern …
The Oxford-IIIT Pet Dataset has 37 categories with roughly 200 images for each class. The images have a large variations …
The Oxford-IIIT Pet Dataset is a 37-category pet dataset with roughly 200 images for each class. The images have large …
PASCAL VOC 2007 is a dataset for image recognition. The twenty object classes that have been selected are: Person: person …
The Prima head pose dataset consists of 2790 images of 15 persons recorded twice. Pitch values lie in the interval …
The Places205 dataset is a large-scale scene-centric dataset with 205 common scene categories. The training dataset contains around 2,500,000 images …
The Places365 dataset is a scene recognition dataset. It is composed of 10 million images comprising 434 scene classes. There …
PlantDoc is a dataset for visual plant disease detection. The dataset contains 2,598 data points in total across 13 plant …
The PlantVillage dataset consists of 54303 healthy and unhealthy leaf images divided into 38 categories by species and disease.
The exact pre-processing steps used to construct the MNIST dataset have long been lost. This leaves us with no reliable …
RESISC45 dataset is a dataset for Remote Sensing Image Scene Classification (RESISC). It contains 31,500 RGB images of size 256×256 …
Part of the Controlled Noisy Web Labels Dataset.
Part of the Controlled Noisy Web Labels Dataset.
Part of the Controlled Noisy Web Labels Dataset.
The STL-10 is an image dataset derived from ImageNet and popularly used to evaluate algorithms of unsupervised feature learning or …
The Scene UNderstanding (SUN) database contains 899 categories and 130,519 images. There are 397 well-sampled categories to evaluate numerous state-of-the-art …
Street View House Numbers (SVHN) is a digit classification benchmark dataset that contains 600,000 32×32 RGB images of printed digits …
So2Sat LCZ42 consists of local climate zone (LCZ) labels of about half a million Sentinel-1 and Sentinel-2 image patches in …
The Stanford Cars dataset consists of 196 classes of cars with a total of 16,185 images, taken from the rear. …
Stanford Online Products (SOP) dataset has 22,634 classes with 120,053 product images. The first 11,318 classes (59,551 images) are split …
Visual Wake Words represents a common microcontroller vision use-case of identifying whether a person is present in the image or …
Our goal is to improve upon the status quo for designing image classification models trained in one domain that perform …
The WebVision dataset is designed to facilitate the research on learning visual representation from noisy web data. It is a …
The iNaturalist 2017 dataset (iNat) contains 675,170 training and validation images from 5,089 natural fine-grained categories. Those categories belong to …
The iWildCam2020-WILDS dataset is a variant of the iWildCam 2020 dataset. iWildCam2020-WILDS is a benchmark dataset designed to test OOD …
The smallNORB dataset is a datset for 3D object recognition from shape. It contains images of 50 toys belonging to …
Birdsnap is a large bird dataset consisting of 49,829 images from 500 bird species with 47,386 images used for training …
The CIFAR-10 database (Canadian Institute For Advanced Research database) is a large collection of natural color images. It has a …
The CIFAR-100 dataset (Canadian Institute for Advanced Research, 100 classes) is a subset of the Tiny Images dataset and consists …
The Caltech101 dataset contains images from 101 object categories (e.g., “helicopter”, “elephant” and “chair” etc.) and a background category that …
Country211 is a dataset released by OpenAI, designed to assess the geolocation capability of visual representations. It filters the YFCC100m …
The Describable Textures Dataset (DTD) contains 5640 texture images in the wild. They are annotated with human-centric attributes inspired by …
Eurosat is a dataset and deep learning benchmark for land use and land cover classification. The dataset is based on …
Fer2013 contains approximately 30,000 facial RGB images of different expressions with size restricted to 48×48, and the main labels of …
The data for FRGC consists of 50,000 recordings divided into training and validation partitions. The training partition is designed for …
Fashion-MNIST is a dataset comprising of 28×28 grayscale images of 70,000 fashion products from 10 categories, with 7,000 images per …
The Food-101 dataset consists of 101 food categories with 750 training and 250 test images per category, making a total …
The German Traffic Sign Recognition Benchmark (GTSRB) contains 43 classes of traffic signs, split into 39,209 training images and 12,630 …
The Human Activity Recognition Dataset has been collected from 30 subjects performing six different activities (Walking, Walking Upstairs, Walking Downstairs, …
The Hateful Memes data set is a multimodal dataset for hateful meme detection (image + text) that contains 10,000+ new …
The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the …
This split was introduced in TEMI (BMVC 2023) Adaloglou, Nikolas, Felix Michels, Hamza Kalisch, and Markus Kollmann. "Exploring the Limits …
The ImageNet-50 dataset split as introduced in TEMI. Adaloglou, Nikolas, Felix Michels, Hamza Kalisch, and Markus Kollmann. "Exploring the Limits …
KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) is one of the most popular datasets for use in mobile …
Kinetics-700 is a video dataset of 650,000 clips that covers 700 human action classes. The videos include human-object interactions such …
The MNIST database (Modified National Institute of Standards and Technology database) is a large collection of handwritten digits. It has …
The Oxford-IIIT Pet Dataset is a 37-category pet dataset with roughly 200 images for each class. The images have large …
PatchCamelyon is an image classification dataset. It consists of 327.680 color images (96 x 96px) extracted from histopathologic scans of …
RESISC45 dataset is a dataset for Remote Sensing Image Scene Classification (RESISC). It contains 31,500 RGB images of size 256×256 …
The Rendered SST2 dataset is a dataset released by OpenAI, that measures the optical character recognition capability of visual representations. …
The STL-10 is an image dataset derived from ImageNet and popularly used to evaluate algorithms of unsupervised feature learning or …
The Scene UNderstanding (SUN) database contains 899 categories and 130,519 images. There are 397 well-sampled categories to evaluate numerous state-of-the-art …
The Stanford Cars dataset consists of 196 classes of cars with a total of 16,185 images, taken from the rear. …
The Stanford Dogs dataset contains 20,580 images of 120 classes of dogs from around the world, which are divided into …
UCF101 dataset is an extension of UCF50 and consists of 13,320 video clips, which are classified into 101 categories. These …
USPS is a digit dataset automatically scanned from envelopes by the U.S. Postal Service containing a total of 9,298 16×16 …
CelebFaces Attributes dataset contains 202,599 face images of the size 178×218 from 10,177 celebrities, each annotated with 40 binary labels …
The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the …
The CIFAR-10 database (Canadian Institute For Advanced Research database) is a large collection of natural color images. It has a …
The Food-101 dataset consists of 101 food categories with 750 training and 250 test images per category, making a total …
The Oxford-IIIT Pet Dataset has 37 categories with roughly 200 images for each class. The images have a large variations …
PatchCamelyon is an image classification dataset. It consists of 327.680 color images (96 x 96px) extracted from histopathologic scans of …
The STL-10 is an image dataset derived from ImageNet and popularly used to evaluate algorithms of unsupervised feature learning or …
CelebFaces Attributes dataset contains 202,599 face images of the size 178×218 from 10,177 celebrities, each annotated with 40 binary labels …
The GoPro dataset for deblurring consists of 3,214 blurred images with the size of 1,280×720 that are divided into 2,103 …
Consists of 8,422 blurry and sharp image pairs with 65,784 densely annotated FG human bounding boxes. Source: Human-Aware Motion Deblurring
The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the …
Haze4k is a synthesized dataset with 4,000 hazy images, in which each hazy image has the associate ground truths of …
KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) is one of the most popular datasets for use in mobile …
NN-HAZE is an image dehazing dataset. Since in many real cases haze is not uniformly distributed NH-HAZE, a non-homogeneous realistic …
A new large-scale benchmark consisting of both synthetic and real-world hazy images, called REalistic Single Image DEhazing (RESIDE). RESIDE highlights …
A large-scale non-homogeneous remote sensing image dehazing dataset
Benchmarking Denoising Algorithms with Real Photographs This dataset consists of 50 pairs of noisy and (nearly) noise-free images captured with …
Flickr-Faces-HQ (FFHQ) consists of 70,000 high-quality PNG images at 1024×1024 resolution and contains considerable variation in terms of age, ethnicity …
The Fluorescence Microscopy Denoising (FMD) dataset is dedicated to Poisson-Gaussian denoising. The dataset consists of 12,000 real fluorescence microscopy images …
A holistic approach to cross-channel image noise modeling and its application to image denoising
PolyU Dataset is a large dataset of real-world noisy images with reasonably obtained corresponding “ground truth” images. The basic idea …
SIDD is an image denoising dataset containing 30,000 noisy images from 10 scenes under different lighting conditions using five representative …
This dataset is a new benchmark, grounded in real-world usages is developed to support more authentic and comprehensive evaluation of …
ImgEdit is a large-scale, high-quality image-editing dataset comprising 1.2 million carefully curated edit pairs, which contain both novel and complex …
A dataset of over 24,000 images exhibiting the broadest range of exposure values to date with a corresponding properly exposed …
The MIT-Adobe FiveK dataset consists of 5,000 photographs taken with SLR cameras by a set of different photographers. They are …
A test dataset SICE_Grad image datasets to represent complex mixed over-/under-exposed scenes.
A test dataset SICE_Mix image datasets to represent complex mixed over-/under-exposed scenes.
The first large demoire dataset. The dataset contains 135,000 image pairs, each containing an image contaminated with moire patterns and …
ARKitScenes is an RGB-D dataset captured with the widely available Apple LiDAR scanner. Along with the per-frame raw data (Wide …
A binarized version of MNIST. Source: Binarized MNIST
The CIFAR-10 database (Canadian Institute For Advanced Research database) is a large collection of natural color images. It has a …
The CIFAR-100 dataset (Canadian Institute for Advanced Research, 100 classes) is a subset of the Tiny Images dataset and consists …
CLEVR (Compositional Language and Elementary Visual Reasoning) is a synthetic Visual Question Answering dataset. It contains images of 3D-rendered objects; …
CelebFaces Attributes dataset contains 202,599 face images of the size 178×218 from 10,177 celebrities, each annotated with 40 binary labels …
The CelebA-HQ dataset is a high-quality version of CelebA that consists of 30,000 images at 1024×1024 resolution. Source: [IntroVAE: Introspective …
Cityscapes is a large-scale database which focuses on semantic understanding of urban street scenes. It provides semantic, instance-wise, and dense …
Flickr-Faces-HQ (FFHQ) consists of 70,000 high-quality PNG images at 1024×1024 resolution and contains considerable variation in terms of age, ethnicity …
Fashion-MNIST is a dataset comprising of 28×28 grayscale images of 70,000 fashion products from 10 categories, with 7,000 images per …
The Large-scale Scene Understanding (LSUN) challenge aims to provide a different benchmark for large-scale scene classification and understanding. The LSUN …
The MNIST database (Modified National Institute of Standards and Technology database) is a large collection of handwritten digits. It has …
MetFaces is an image dataset of human faces extracted from works of art. The dataset consists of 1336 high-quality PNG …
Samples from NASA Perseverance and set of GAN generated synthetic images from Neural Mars.
The ObjectsRoom dataset is based on the MuJoCo environment used by the Generative Query Network [4] and is a multi-object …
RC-49 is a benchmark dataset for generating images conditional on a continuous scalar variable. It is made by rendering 49 …
The Replica Dataset is a dataset of high quality reconstructions of a variety of indoor spaces. Each reconstruction has clean …
This is a dataset of 306,006 galaxies whose coordinates are taken from the Sloan Digital Sky Survey Data Release 7 …
The STL-10 is an image dataset derived from ImageNet and popularly used to evaluate algorithms of unsupervised feature learning or …
A simulation-based dataset featuring 20,000 stack configurations composed of a variety of elementary geometric primitives richly annotated regarding semantics and …
The Stacked MNIST dataset is derived from the standard MNIST dataset with an increased number of discrete modes. 240,000 RGB …
The Stanford Cars dataset consists of 196 classes of cars with a total of 16,185 images, taken from the rear. …
The Stanford Dogs dataset contains 20,580 images of 120 classes of dogs from around the world, which are divided into …
A Dense-text Image Benchmark to evaluate large generation model's ability on text generation.
Vision and Language Navigation in Continuous Environments (VLN-CE) is an instruction-guided navigation task with crowdsourced instructions, realistic environments, and unconstrained …
ViZDoom is an AI research platform based on the classical First Person Shooter game Doom. The most popular game mode …
WISE, the first benchmark specifically designed for World Knowledge-Informed Semantic Evaluation. WISE moves beyond simple word-pixel mapping by challenging models …
ApolloScape is a large dataset consisting of over 140,000 video frames (73 street scene videos) from various locations in China …
The Inpainting dataset consists of synchronized Labeled image and LiDAR scanned point clouds. It's captured by HESAI Pandora All-in-One Sensing …
CelebFaces Attributes dataset contains 202,599 face images of the size 178×218 from 10,177 celebrities, each annotated with 40 binary labels …
The CelebA-HQ dataset is a high-quality version of CelebA that consists of 30,000 images at 1024×1024 resolution. Source: [IntroVAE: Introspective …
The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the …
The Oxford-BBC Lip Reading Sentences 2 (LRS2) dataset is one of the largest publicly available datasets for lip reading sentences …
This dataset is an OSN-transmitted (OSN = Online Social Network) version of the CASIA dataset. The dataset is available here: …
This dataset is an OSN-transmitted (OSN = Online Social Network) version of the CASIA dataset. The dataset is available here: …
This dataset is an OSN-transmitted (OSN = Online Social Network) version of the CASIA dataset. The dataset is available here: …
This dataset is an OSN-transmitted (OSN = Online Social Network) version of the CASIA dataset. The dataset is available here: …
COVERAGE contains copymove forged (CMFD) images and their originals with similar but genuine objects (SGOs). COVERAGE is designed to highlight …
Casia V1 is a dataset for forgery classification. Casia V1+ is a modification of the Casia V1 dataset proposed by …
This dataset is an OSN-transmitted (Online Social Network) version of the Columbia dataset. Unfortunately, OSNs automatically apply operations like compression …
This dataset is an OSN-transmitted (Online Social Network) version of the Columbia dataset. Unfortunately, OSNs automatically apply operations like compression …
This dataset is an OSN-transmitted (Online Social Network) version of the Columbia dataset. Unfortunately, OSNs automatically apply operations like compression …
This dataset is an OSN-transmitted (Online Social Network) version of the Columbia dataset. Unfortunately, OSNs automatically apply operations like compression …
This dataset is an OSN-transmitted (Online Social Network) version of the DSO dataset. Unfortunately, OSNs automatically apply operations like compression …
This dataset is an OSN-transmitted (Online Social Network) version of the DSO dataset. Unfortunately, OSNs automatically apply operations like compression …
This dataset is an OSN-transmitted (Online Social Network) version of the DSO dataset. Unfortunately, OSNs automatically apply operations like compression …
This dataset is an OSN-transmitted (Online Social Network) version of the DSO dataset. Unfortunately, OSNs automatically apply operations like compression …
This dataset is an OSN-transmitted (Online Social Network) version of the NIST dataset (https://www.nist.gov/itl/iad/mig/nimble-challenge-2017-evaluation). Unfortunately, OSNs automatically apply operations like …
This dataset is an OSN-transmitted (Online Social Network) version of the NIST dataset (https://www.nist.gov/itl/iad/mig/nimble-challenge-2017-evaluation). Unfortunately, OSNs automatically apply operations like …
This dataset is an OSN-transmitted (Online Social Network) version of the NIST dataset (https://www.nist.gov/itl/iad/mig/nimble-challenge-2017-evaluation). Unfortunately, OSNs automatically apply operations like …
This dataset is an OSN-transmitted (Online Social Network) version of the NIST dataset (https://www.nist.gov/itl/iad/mig/nimble-challenge-2017-evaluation). Unfortunately, OSNs automatically apply operations like …
COVERAGE contains copymove forged (CMFD) images and their originals with similar but genuine objects (SGOs). COVERAGE is designed to highlight …
Casia V1 is a dataset for forgery classification. Casia V1+ is a modification of the Casia V1 dataset proposed by …
Dataset provided by the Image Matching Workshop https://www.cs.ubc.ca/research/image-matching-challenge/current/
A evaluation benchmark ZEB for image matching by merging 8 real-world datasets and 4 simulated datasets with diverse image resolutions, …
AIM-500 is the first natural image matting test set, contains 500 high-resolution real-world natural images from three types of images …
AM-2k (Animal Matting 2,000 Dataset) consists of 2,000 high-resolution images collected and carefully selected from websites with open licenses. AM-2k …
Composition-1K is a large-scale image matting dataset including 49300 training images and 1000 testing images. Image source: https://arxiv.org/pdf/1703.03872v3.pdf
Dinstinctions-646 are composed of 646 foreground images with manually annotated alpha mattes
P3M-10k contains 10421 high-resolution real-world face-blurred portrait images, along with their manually labeled alpha mattes. The Dataset is aimed to …
PPM is a portrait matting benchmark with the following characteristics: - Fine Annotation - All images are labeled and checked …
Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …
KonIQ-10k is a large-scale IQA dataset consisting of 10,073 quality scored images. This is the first in-the-wild database aiming for …
The dataset was created for video quality assessment problem. It was formed with 36 clips from Vimeo, which were selected …
The dataset was created for video quality assessment problem. It was formed with 36 clips from Vimeo, which were selected …
The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the …
Ultra-high definition benchmark (UHDBench) includes 2293 images at 2k resolution sourced from the ground-truth test sets of HRSOD, LIU4k, UAVid, …
Inspiratory and exipratory breath-hold CT image pairs acquired from the National Heart Lung Blood Institute COPDgene study archive.
Fundus Image Registration Dataset (FIRE) is a dataset consisting of 129 retinal images forming 134 image pairs. These image pairs …
AmsterTime dataset offers a collection of 2,500 well-curated images matching the same scene from a street view matched to historical …
A Large-Scale Chinese Image-Text Benchmark for Real-World Short Video Search Scenario
Composed Image Retrieval (or, Image Retreival conditioned on Language Feedback) is a relatively new retrieval task, where an input query …
The COCO (Common Objects in Context) dataset is a large-scale object detection, segmentation, and captioning dataset. It is designed to …
COCO-CN is a bilingual image description dataset enriching MS-COCO with manually written Chinese sentences and tags. The new dataset can …
The COFAR (COmmonsense and FActual Reasoning) dataset is a collection of images and text queries specifically designed to challenge and …
A fundamental characteristic common to both human vision and natural language is their compositional nature. Yet, despite the performance gains …
The Caltech-UCSD Birds-200-2011 (CUB-200-2011) dataset is the most widely-used dataset for fine-grained visual categorization task. It contains 11,788 images of …
DeepFashion is a dataset containing around 800K diverse fashion images with their rich annotations (46 categories, 1,000 descriptive attributes, bounding …
A dataset containing 404,683 shop photos collected from 25 different online retailers and 20,357 street photos, providing a total of …
FETA benchmark focuses on text-to-image and image-to-text retrieval in public car manuals and sales catalogue brochures. The FETA Car-Manuals dataset …
Fashion IQ support and advance research on interactive fashion image retrieval. Fashion IQ is the first fashion dataset to provide …
The Flickr30k dataset contains 31,000 images collected from Flickr, together with 5 reference sentences provided by human annotators. Source: [Guiding …
One large-scale database for Text-to-Image Person Re-identification, i.e., Text-based Person Retrieval. Compared with existing databases, ICFG-PEDES has three key advantages. …
INSTRE is a benchmark for INSTance-level visual object REtrieval and REcognition (INSTRE). INSTRE has the following major properties: (1) balanced …
Given 10 minimally contrastive (highly similar) images and a complex description for one of them, the task is to retrieve …
In-shop Clothes Retrieval Benchmark evaluates the performance of in-shop Clothes Retrieval. This is a large subset of DeepFashion, containing large …
Large Scale Composed Image Retrieval (LaSCo) is a new dataset for Composed Image Retrieval (CoIR), x10 times larger than current …
We propose Localized Narratives, a new form of multimodal image annotations connecting vision and language. We ask annotators to describe …
Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …
The NUS-WIDE dataset contains 269,648 images with a total of 5,018 tags collected from Flickr. These images are manually annotated …
Oxford5K is the Oxford Buildings Dataset, which contains 5062 images collected from Flickr. It offers a set of 55 queries …
The PKU Sketch Re-ID dataset is constructed by National Engineering Laboratory for Video Technology (NELVT), Peking University. The dataset contains …
This dataset contains 114 individuals including 1824 images captured from two disjoint camera views. For each person, eight images are …
Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …
PhotoChat, the first dataset that casts light on the photo sharing behavior in online messaging. PhotoChat contains 12k dialogues, each …
Wikipedia-based Image Text (WIT) Dataset is a large multimodal multilingual dataset. WIT is composed of a curated set of 37.6 …
The iNaturalist 2017 dataset (iNat) contains 675,170 training and validation images from 5,089 natural fine-grained categories. Those categories belong to …
VD4UAV is an altitude-sensitive benchmark dataset designed to evade vehicle detection in Unmanned Aerial Vehicle (UAV) imagery. This dataset is …
The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the …
MARIDA (Marine Debris Archive) is the first dataset based on the multispectral Sentinel-2 (S2) satellite data, which distinguishes Marine Debris …
MAS3K contains a total of 3,103 images, where 1,588 are for camouflaged cases, 1,322 are for common cases, and 193 …
We construct the first large-scale mirror dataset, named MSD. It includes 4, 018 pairs of images containing mirrors and their …
The PASCAL Visual Object Classes (VOC) 2012 dataset contains 20 object categories including vehicles, household, animals, and other: aeroplane, bicycle, …
We propose a large-scale benchmark here, which contains a total of 6,461 mirror images with ground truth annotations.
The Pascal Panoptic Parts dataset consists of annotations for the part-aware panoptic segmentation task on the PASCAL VOC 2010 dataset. …
We construct a new large-scale real-world MAS data set for conducting extensive experiments. It consists of over 3000 images with …
A significant challenge in removing shadows from indoor scenes is obtaining shadow-free images. To overcome this challenge, we propose a …
The HPatches is a recent dataset for local patch descriptor evaluation that consists of 116 sequences of 6 images with …
CelebFaces Attributes dataset contains 202,599 face images of the size 178×218 from 10,177 celebrities, each annotated with 40 binary labels …
The airborne hyperspectral dataset was taken by Headwall Hyperspec-VNIR-C imaging sensor over agricultural and urban areas in Chikusei, Ibaraki, Japan, …
IXI Dataset is a collection of 600 MR brain images from normal, healthy subjects. The MR image acquisition protocol for …
The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the …
The Set14 dataset is a dataset consisting of 14 images commonly used for testing performance of Image Super-Resolution models. Image …
To construct such a dataset, a straightforward approach was scraping images from the web. The main source for our dataset …
TextZoom is a super-resolution dataset that consists of paired Low Resolution – High Resolution scene text images. The images are …
Animal FacesHQ (AFHQ) is a dataset of animal faces consisting of 15,000 high-quality images at 512 × 512 resolution. The …
The evaluation of human epidermal growth factor receptor 2 (HER2) expression is essential to formulate a precise treatment for breast …
The CelebA-HQ dataset is a high-quality version of CelebA that consists of 30,000 images at 1024×1024 resolution. Source: [IntroVAE: Introspective …
IXI Dataset is a collection of 600 MR brain images from normal, healthy subjects. The MR image acquisition protocol for …
The Radboud Faces Database (RaFD) is a set of pictures of 67 models (both adult and children, males and females) …
The selfie dataset contains 46,836 selfie images annotated with 36 different attributes. We only use photos of females as training …
Data Set Information: Extraction was done by Barry Becker from the 1994 Census database. A set of reasonably clean records …
The PhysioNet Challenge 2012 dataset is publicly available and contains the de-identified records of 8000 patients in Intensive Care Units …
The Sprites dataset contains 60 pixel color images of animated characters (sprites). There are 672 sprites, 500 for training, 100 …
ARMBench is a large-scale, object-centric benchmark dataset for robotic manipulation in the context of a warehouse. ARMBench contains images, videos, …
RGB-D instance segmentation box dataset. The Box-IS dataset was created to support research on human-robot collaboration with a focus on …
COCO-N Medium introduces a stochastic benchmark that simulates common real-world scenarios with noticeable label inaccuracies in the COCO dataset. This …
Cityscapes is a large-scale database which focuses on semantic understanding of urban street scenes. It provides semantic, instance-wise, and dense …
Augments the KITTI with more instance pixel-level annotation for 8 categories. Source: Amodal Instance Segmentation with KINS Dataset
The Instance Segmentation task, an extension of the well-known Object Detection task, is of great help in many areas, such …
A RGB-D dataset converted from NYUDv2 into COCO-style instance segmentation format. To construct NYUDv2-IS, specifically tailored for instance segmentation, we …
Occluded COCO is automatically generated subset of COCO val dataset, collecting partially occluded objects for a large variety of categories …
OoDIS is a benchmark dataset for anomaly instance segmentation, crucial for autonomous vehicle safety. It extends existing anomaly segmentation benchmarks …
PartNet is a consistent, large-scale dataset of 3D objects annotated with fine-grained, instance-level, and hierarchical 3D part information. The dataset …
A RGB-D dataset converted from SUN-RGBD into COCO-style instance segmentation format. To transform SUN-RGBD into an instance segmentation benchmark (i.e., …
Separated COCO is automatically generated subsets of COCO val dataset, collecting separated objects for a large variety of categories in …
We introduce a set of 425 panoramic X-rays with Human annotated Bounding Boxes and Polygons, the 425 images are a …
iSAID contains 655,451 object instances for 15 categories across 2,806 high-resolution images. The images of iSAID is the same as …
iShape is an irregular shape dataset for instance segmentation. iShape contains six sub-datasets with one real and five synthetics, each …
The nuScenes dataset is a large-scale autonomous driving dataset. The dataset has 3D bounding boxes for 1000 scenes collected in …
A new dataset called SOBA, named after Shadow-OBject Association, with 3,623 pairs of shadow and object instances in 1,000 photos, …
This dataset evaluates instruction following ability of large language models. There are 500+ prompts with instructions such as "write an …
The Densely Annotation Video Segmentation dataset (DAVIS) is a high quality and high resolution densely annotated video segmentation dataset under …
A dataset for interactive segmentation with simulated initial masks.
The PASCAL Visual Object Classes (VOC) 2012 dataset contains 20 object categories including vehicles, household, animals, and other: aeroplane, bicycle, …
The Semantic Boundaries Dataset (SBD) is a dataset for predicting pixels on the boundary of the object (as opposed to …
We introduce Stanford-ORB, a new real-world 3D Object inverse Rendering Benchmark. Recent advances in inverse rendering have enabled a wide …
This is a dataset for a video inverse-tone-mapping task. The dataset contains various contents for the task of restoring HDR …
The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the …
OCR is inevitably linked to NLP since its final output is in text. Advances in document intelligence are driving the …
EPHOIE is a fully-annotated dataset which is the first Chinese benchmark for both text spotting and visual information extraction. EPHOIE …
The paper used 500 scanned Electronic Theses and Dissertation cover pages (i.e., front pages). The dataset contains several intermediate datasets, …
Kleister NDA is a dataset for Key Information Extraction (KIE). The dataset contains a mix of scanned and born-digital long …
Consists of a dataset with 1000 whole scanned receipt images and annotations for the competition on scanned receipts OCR and …
The football keyword dataset (FKD), as a new keyword spotting dataset in Persian, is collected with crowdsourcing. This dataset contains …
TAU Urban Acoustic Scenes 2019 development dataset consists of 10-seconds audio segments from 10 acoustic scenes: airport, indoor shopping mall, …
VoxForge is an open speech dataset that was set up to collect transcribed speech for use with Free and Open …
PETRAW data set was composed of 150 sequences of peg transfer training sessions. The objective of the peg transfer session …
KinFaceW-I dataset contains 533 pairs of facial images of persons with a kin relation. Four different kin relations are considered …
KinFaceW-II Dataset consists of 1000 pairs of facial images of individuals with a kin relation. This database also considers four …
The CIFAR-100 dataset (Canadian Institute for Advanced Research, 100 classes) is a subset of the Tiny Images dataset and consists …
The COCO (Common Objects in Context) dataset is a large-scale object detection, segmentation, and captioning dataset. It is designed to …
Cityscapes is a large-scale database which focuses on semantic understanding of urban street scenes. It provides semantic, instance-wise, and dense …
The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the …
KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) is one of the most popular datasets for use in mobile …
The PASCAL Visual Object Classes (VOC) 2012 dataset contains 20 object categories including vehicles, household, animals, and other: aeroplane, bicycle, …
The Paris-Lille-3D is a Benchmark on Point Cloud Classification. The Point Cloud has been labeled entirely by hand with 50 …
SeMantic InDustry (S.MID) is a dataset designed to advance the field of LiDAR semantic segmentation, specifically for robotic applications and …
SemanticKITTI is a large-scale outdoor-scene dataset for point cloud semantic segmentation. It is derived from the KITTI Vision Odometry Benchmark …
SemanticSTF is an adverse-weather point cloud dataset that provides dense point-level annotations and allows to study 3DSS under various adverse …
UAV Laser Scanning data collected over neotropical forest (Paracou French Guiana). Four flights conducted over one ha plot in 2021 …
The nuScenes dataset is a large-scale autonomous driving dataset. The dataset has 3D bounding boxes for 1000 scenes collected in …
CULane is a large scale challenging dataset for academic research on traffic lane detection. It is collected by cameras mounted …
CurveLanes is a new benchmark lane detection dataset with 150K lanes images for difficult scenarios such as curves and multi-lanes …
DET is a lane detection dataset that consists of the raw event data, accumulated images over 30ms and corresponding lane …
KAIST-Lane (K-Lane) is the world’s first and the largest public urban road and highway lane dataset for Lidar. K-Lane has …
The unsupervised Labeled Lane MArkerS dataset (LLAMAS) is a dataset for lane detection and segmentation. It contains over 100,000 annotated …
OpenLane-V2 is the world's first perception and reasoning benchmark for scene structure in autonomous driving. The primary task of the …
The TuSimple dataset consists of 6,408 road images on US highways. The resolution of image is 1280×720. The dataset is …
The nuScenes dataset is a large-scale autonomous driving dataset. The dataset has 3D bounding boxes for 1000 scenes collected in …
VidChapters-7M is a dataset of 817K user-chaptered videos including 7M chapters in total. VidChapters-7M is automatically created from videos online …
SemanticKITTI is a large-scale outdoor-scene dataset for point cloud semantic segmentation. It is derived from the KITTI Vision Odometry Benchmark …
THuman2.0 Dataset contains 500 high-quality human scans captured by a dense DLSR rig. For each scan, we provide the 3D …
NKL (short for NanKai Lines) is a dataset for semantic line detection. Semantic lines are meaningful line structures that outline …
The semantic line (SEL) dataset contains 1,750 outdoor images in total, which are split into 1,575 training and 175 testing …
The Lip Reading in the Wild (LRW) dataset a large-scale audio-visual database that contains 500 different words from over 1,000 …
LRW-1000 has been renamed as CAS-VSR-W1k.* It is a naturally-distributed large-scale benchmark for word-level lipreading in the wild, including 1000 …
The Oxford-BBC Lip Reading Sentences 2 (LRS2) dataset is one of the largest publicly available datasets for lip reading sentences …
LRS3-TED is a multi-modal dataset for visual and audio-visual speech recognition. It includes face tracks from over 400 hours of …
YouCook2 is the largest task-oriented, instructional video dataset in the vision community. It contains 2000 long untrimmed videos from 89 …
The LIDC-IDRI dataset contains lesion annotations from four experienced thoracic radiologists. LIDC-IDRI contains 1,018 low-dose lung CTs from 1010 lung …
Multi-Modal Reading (MMR) Benchmark includes 550 annotated question-answer pairs across 11 distinct tasks involving texts, fonts, visual elements, bounding boxes, …
Several datasets are fostering innovation in higher-level functions for everyone, everywhere. By providing this repository, we hope to encourage the …
This dataset is created from MIMIC-III (Medical Information Mart for Intensive Care III) and contains simulated patient admission notes. The …
This dataset is a combination of the following three datasets : figshare, SARTAJ dataset and Br35H This dataset contains 7022 …
LoDoPaB-CT is a dataset of computed tomography images and simulated low-dose measurements. It contains over 40,000 scan slices from around …
This dataset contains a large number of segmented nuclei images. The images were acquired under a variety of conditions and …
The goal of the Automated Cardiac Diagnosis Challenge (ACDC) challenge is to: - compare the performance of automatic methods on …
Despite the considerable progress in automatic abdominal multi-organ segmentation from CT/MRI scans in recent years, a comprehensive evaluation of the …
This dataset contains 1200 images (1000 WLI images and 200 FICE images) with fine-grained segmentation annotations. The training set consists …
This brain anatomy segmentation dataset has 1300 2D US scans for training and 329 for testing. A total of 1629 …
CHASE_DB1 is a dataset for retinal vessel segmentation which contains 28 color retina images with the size of 999×960 pixels …
CVC-ClinicDB is an open-access dataset of 612 images with a resolution of 384×288 from 31 colonoscopy sequences.It is used for …
The CELL benchmark is made of fluorescence microscopy images of cell. Source: Multi-Domain Adversarial Learning Image Source: https://arxiv.org/pdf/1903.09239v1.pdf
The Digital Retinal Images for Vessel Extraction (DRIVE) dataset is a dataset for retinal vessel segmentation. It consists of a …
The dataset available for download on this webpage represents a 5x5x5µm section taken from the CA1 hippocampus region of the …
A challenge that consists of three tasks, each targeting a different requirement for in-clinic use. The first task involves classifying …
A dataset of abdominal CT studies in NifTi format from the open-source medical data repository Medical Decathlon was utilized. To …
The dataset used in this challenge consists of 165 images derived from 16 H&E stained histological sections of stage T3 …
Consists of annotated frames containing GI procedure tools such as snares, balloons and biopsy forceps, etc. Beside of the images, …
Kvasir-SEG is an open-access dataset of gastrointestinal polyp images and corresponding segmentation masks, manually annotated by a medical doctor and …
The dataset contains a Video capsule endoscopy dataset for polyp segmentation. The dataset can be downloaded from here: https://www.kaggle.com/debeshjha1/kvasircapsuleseg https://www.dropbox.com/home/KvasirCapsule-SEG …
This database is provided and maintained by Dr. Gregory C Sharp (Harvard Medical School – MGH, Boston) and his group. …
Under Institutional Review Board (IRB) supervision, 50 abdomen CT scans of were randomly selected from a combination of an ongoing …
The Medical Segmentation Decathlon is a collection of medical image segmentation datasets. It contains a total of 2,633 three-dimensional images …
The “Medico automatic polyp segmentation challenge” aims to develop computer-aided diagnosis systems for automatic polyp segmentation to detect all types …
Different types of cells play a vital role in the initiation, development, invasion, metastasis and therapeutic response of tumors of …
The dataset for this challenge was obtained by carefully annotating tissue images of several patients with tumors of different organs …
MosMedData contains anonymised human lung computed tomography (CT) scans with COVID-19 related findings, as well as without such findings. A …
The RITE (Retinal Images vessel Tree Extraction) is a database that enables comparative studies on segmentation or classification of arteries …
The ROBUST-MIS dataset was made available to support the Robust Medical Instrument Segmentation (ROBUST-MIS) Challenge 2019, part of the Endoscopic …
Inolves an annotated a large number of cells, including normal epithelial and myoepithelial breast cells (localized in ducts and lobules), …
The Hateful Memes data set is a multimodal dataset for hateful meme detection (image + text) that contains 10,000+ new …
Introudced from Multimodal Meme Dataset (MultiOFF) for Identifying Offensive Content in Image and Text
Social media are interactive platforms that facilitate the creation or sharing of information, ideas or other forms of expression among …
This dataset contains 12,500 meter images acquired in the field by the employees of the Energy Company of Paraná (Copel), …
This dataset contains 2,000 dial meter images obtained on-site by employees of the Energy Company of Paraná (Copel), which serves …
This dataset contains 2,000 images taken from inside a warehouse of the Energy Company of Paraná (Copel), which directly serves …
The Caltech-UCSD Birds-200-2011 (CUB-200-2011) dataset is the most widely-used dataset for fine-grained visual categorization task. It contains 11,788 images of …
DyML-Animal is based on animal images selected from ImageNet-5K [1]. It has 5 semantic scales (i.e., classes, order, family, genus, …
DyML-Product is derived from iMaterialist-2019, a hierarchical online product dataset. The original iMaterialist-2019 offers up to 4 levels of hierarchical …
DyML-Vehicle merges two vehicle re-ID datasets PKU VehicleID [1], VERI-Wild [1]. Since these two datasets have only annotations on the …
In-shop Clothes Retrieval Benchmark evaluates the performance of in-shop Clothes Retrieval. This is a large subset of DeepFashion, containing large …
Stanford Online Products (SOP) dataset has 22,634 classes with 120,053 product images. The first 11,318 classes (59,551 images) are split …
iMiGUE is a dataset for emotional artificial intelligence research: identity-free video dataset for Micro-Gesture Understanding and Emotion analysis (iMiGUE). Different …
Charades-STA is a new dataset built on top of Charades by adding sentence temporal annotations. Source: [TALL: Temporal Activity Localization …
The Query-based Video Highlights (QVHighlights) dataset is a dataset for detecting customized moments and highlights from videos given natural language …
HumanML3D is a 3D human motion-language dataset that originates from a combination of HumanAct12 and Amass dataset. It covers a …
The KIT Motion-Language is a dataset linking human motion and natural language. Source: The KIT Motion-Language Dataset
The nuScenes dataset is a large-scale autonomous driving dataset. The dataset has 3D bounding boxes for 1000 scenes collected in …
ApolloScape is a large dataset consisting of over 140,000 video frames (73 street scene videos) from various locations in China …
The Hopkins 155 dataset consists of 156 video sequences of two or three motions. Each video sequence motion corresponds to …
Please find more details of this dataset at https://alex-xun-xu.github.io/ProjectPage/CVPR_18/index.html 3D motion segmentation has been the key problem in computer vision …
AIOZ-GDANCE comprises 16.7 hours of whole-body motion and music audio of group dancing. The duration of each video in our …
AIST++ is a 3D dance dataset which contains 3D motion reconstructed from real dancers paired with music. The AIST++ Dance …
BRACE is a dataset for audio-conditioned dance motion synthesis challenging common assumptions for this task: - strong music-dance correlation - …
Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …
HumanAct12 is a new 3D human motion dataset adopted from the polar image and 3D pose dataset PHSPD, with proper …
HumanML3D is a 3D human motion-language dataset that originates from a combination of HumanAct12 and Amass dataset. It covers a …
Inter-X is a large-scale dataset containing ~11K interaction sequences, more than 8.1M frames and 34K fine-grained human textual descriptions.
InterHuman is a multimodal dataset, named InterHuman. It consists of about 107M frames for diverse two-person interactions, with accurate skeletal …
The KIT Motion-Language is a dataset linking human motion and natural language. Source: The KIT Motion-Language Dataset
Motion-X is a large-scale 3D expressive whole-body motion dataset, which comprises 15.6M precise 3D whole-body pose annotations (i.e., SMPL-X) covering …
The Text-Music-Dance (TMD) dataset establishes a pioneering benchmark comprising 2,153 text-music-motion pairs. Dance motions and corresponding text annotations are sourced …
Trinity Gesture Dataset includes 23 takes, totalling 244 minutes of motion capture and audio of a male native English speaker …
The CheXpert dataset contains 224,316 chest radiographs of 65,240 patients with both frontal and lateral views available. The task is …
ChestX-ray14 is a medical imaging dataset which comprises 112,120 frontal-view X-ray images of 30,805 (collected from the year of 1992 …
MIMIC-CXR from Massachusetts Institute of Technology presents 371,920 chest X-rays associated with 227,943 imaging studies from 65,079 patients. The studies …
MLRSNet is a a multi-label high spatial resolution remote sensing dataset for semantic scene understanding. It provides different perspectives of …
The MRNet dataset consists of 1,370 knee MRI exams performed at Stanford University Medical Center. The dataset contains 1,104 (80.6%) …
The NUS-WIDE dataset contains 269,648 images with a total of 5,018 tags collected from Flickr. These images are manually annotated …
OpenImages V6 is a large-scale dataset , consists of 9 million training images, 41,620 validation samples, and 125,456 test samples. …
PASCAL VOC 2007 is a dataset for image recognition. The twenty object classes that have been selected are: Person: person …
BigEarthNet consists of 590,326 Sentinel-2 image patches, each of which is a section of i) 120x120 pixels for 10m bands; …
Our goal is to improve upon the status quo for designing image classification models trained in one domain that perform …
The AI City Challenge, hosted at CVPR 2024, focuses on harnessing AI to enhance operational efficiency in physical settings such …
Datasets drive vision progress, yet existing driving datasets are impoverished in terms of visual content and supported tasks to study …
A large-scale multi-object tracking dataset for human tracking in occlusion, frequent crossover, uniform appearance and diverse body gestures. It is …
A new large-scale dataset for understanding human motions, poses, and actions in a variety of realistic events, especially crowd & …
A novel egocentric dataset collected from social mobile manipulator JackRabbot. The dataset includes 64 minutes of annotated multimodal sensor data …
MOT2015 is a dataset for multiple object tracking. It contains 11 different indoor and outdoor scenes of public places with …
The MOT16 dataset is a dataset for multiple object tracking. It a collection of existing and new data (part of …
The Multiple Object Tracking 17 (MOT17) dataset is a dataset for multiple object tracking. Similar to its previous version MOT16, …
MOT20 is a dataset for multiple object tracking. The dataset contains 8 challenging video sequences (4 train, 4 test) in …
MultiviewX is a synthetic Multiview pedestrian detection dataset. It is build using pedestrian models from PersonX, in Unity. The MultiviewX …
PersonPath22 is a large-scale multi-person tracking dataset containing 236 videos captured mostly from static-mounted cameras, collected from sources where we …
SeaDronesSee is a large-scale data set aimed at helping develop systems for Search and Rescue (SAR) using Unmanned Aerial Vehicles …
Synthehicle is a massive CARLA-based synthehic multi-vehicle multi-camera tracking dataset and includes ground truth for 2D detection and tracking, 3D …
TAO is a federated dataset for Tracking Any Object, containing 2,907 high resolution videos, captured in diverse environments, which are …
UAVDT is a large scale challenging UAV Detection and Tracking benchmark (i.e., about 80, 000 representative frames from 10 hours …
Wildtrack is a large-scale and high-resolution dataset. It has been captured with seven static cameras in a public open area, …
The Multi-Object and Segmentation (MOTS) benchmark [2] consists of 21 training sequences and 29 test sequences. It is based on …
The COCO (Common Objects in Context) dataset is a large-scale object detection, segmentation, and captioning dataset. It is designed to …
COCO-WholeBody is an extension of COCO dataset with whole-body annotations. There are 4 types of bounding boxes (person box, face …
The CrowdPose dataset contains about 20,000 images and a total of 80,000 human poses with 14 labeled keypoints. The test …
This dataset focuses on heavily occluded human with comprehensive annotations including bounding-box, humans pose and instance mask. This dataset contains …
ETHD is a multi-view stereo benchmark / 3D reconstruction benchmark that covers a variety of indoor and outdoor scenes. Ground …
The TII-SSRC-23 dataset offers a comprehensive collection of network traffic patterns, meticulously compiled to support the development and research of …
DomainNet is a dataset of common objects in six different domain. All domains include 345 categories (classes) of objects such …
The dataset contains images of 16 artworks included in the cultural site “Galleria Regionale di Palazzo Bellomo2”. The collection covers …
The Office dataset contains 31 object categories in three domains: Amazon, DSLR and Webcam. The 31 categories in the dataset …
Office-Home is a benchmark dataset for domain adaptation which contains 4 domains where each domain consists of 65 categories. The …
Multimodal Emotion Recognition IEMOCAP The IEMOCAP dataset consists of 151 videos of recorded dialogues, with 2 speakers per session for …
Multimodal EmotionLines Dataset (MELD) has been created by enhancing and extending EmotionLines dataset. MELD contains the same dialogue instances available …
Multi30K is a large-scale multilingual multimodal dataset for interdisciplinary machine learning research. It extends the Flickr30K dataset with German translations …
We introduce the novel task of multimodal puzzle solving, framed within the context of visual question-answering. We present a new …
Math-Vision (Math-V) dataset is a meticulously curated collection of 3,040 high-quality mathematical problems with visual contexts sourced from real math …
Recent advances in large language models have led to the development of multimodal LLMs (MLLMs), which take both image data …
GMOT-40 is the first public dense dataset for Generic Multiple Object Tracking (GMOT). It contains 40 carefully annotated sequences evenly …
RADIATE (RAdar Dataset In Adverse weaThEr) is new automotive dataset created by Heriot-Watt University which includes Radar, Lidar, Stereo Camera …
Consists of 100 challenging video sequences captured from real-world traffic scenes (over 140,000 frames with rich annotations, including occlusion, weather, …
The Waymo Open Dataset is comprised of high resolution sensor data collected by autonomous vehicles operated by the Waymo Driver …
KAIST Multispectral Pedestrian Dataset The KAIST Multispectral Pedestrian Dataset is imaging hardware consisting of a color camera, a thermal camera …
The CSIQ database consists of 30 original images, each is distorted using six different types of distortions at four to …
Konstanz artificially distorted image quality database (KADID-10k) contains 81 pristine images, each degraded by 25 distortions in 5 levels.
Briefly describe the dataset. Provide: * a high-level explanation of the dataset characteristics * explain motivations and summary of its …
TID2013 is a dataset for image quality assessment that contains 25 reference images and 3000 distorted images (25 reference images …
We introduce a novel Image Quality Assessment (IQA) dataset comprising 6073 UHD-1 (4K) images, annotated at a fixed width of …
Street View House Numbers (SVHN) is a digit classification benchmark dataset that contains 600,000 32×32 RGB images of printed digits …
ACID consists of thousands of aerial drone videos of different coastline and nature scenes on YouTube. Structure-from-motion is used to …
Synthetic (Blender) Dataset for forward facing scenes Toe vaualte NVS quality and camera parameter accuracy.
This is the dataset for the CGF 2021 paper "DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth …
The Deep Blending Dataset comprises 19 diverse scenes, offering comprehensive resources for free-viewpoint image-based rendering (IBR). Each scene includes input …
This is dataset for high dynamic range novel view synthesis. It is collected by HDR-NeRF and recalibrated by HDR-GS for …
KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) is one of the most popular datasets for use in mobile …
Local Light Field Fusion (LLFF) is a practical and robust deep learning solution for capturing and rendering novel views of …
Mip-NeRF 360 is an extension to the Mip-NeRF that uses a non-linear parameterization, online distillation, and a novel distortion-based regularize …
Neural Radiance Fields (NeRF) is a method for synthesizing novel views of complex scenes by optimizing an underlying continuous volumetric …
The PhotoShape dataset consists of photorealistic, relightable, 3D shapes produced by the work proposed in the work of [Park et …
RTMV is a large-scale synthetic dataset for novel view synthesis consisting of ∼300k images rendered from nearly 2000 complex scenes …
RealEstate10K is a large dataset of camera poses corresponding to 10 million frames derived from about 80,000 video clips, gathered …
RefRef is a synthetic dataset and benchmark designed for the task of reconstructing scenes with complex refractive and reflective objects. …
The new dataset contains around 1,500 train videos and 290 test videos, with 50 frames per video on average. The …
ScanNet++ is a large scale dataset with 450+ 3D indoor scenes containing sub-millimeter resolution laser scans, registered 33-megapixel DSLR images, …
We present a benchmark for image-based 3D reconstruction. The benchmark sequences were acquired outside the lab, in realistic conditions. Ground-truth …
X3D is a dataset containing 15 scenes and covering 4 applications for X-ray 3D reconstruction. More specifically, the X3D dataset …
Real-world dataset on forward facing scenes with different camera intrinisc parameters.
The General Robust Image Task (GRIT) Benchmark is an evaluation-only benchmark for evaluating the performance and robustness of vision systems …
The Car Parking Lot Dataset (CARPK) contains nearly 90,000 cars from 4 different parking lots collected by means of drone …
We introduce a dataset of 147 object categories containing over 6000 images that are suitable for the few-shot counting task. …
HowMany-Qa is a object counting dataset. It is taken from the counting-specific union of VQA 2.0 (Goyal et al., 2017) …
To effectively evaluate OmniCount across open-vocabulary, supervised, and few-shot counting tasks, a dataset catering to a broad spectrum of visual …
The PASCAL Visual Object Classes (VOC) 2012 dataset contains 20 object categories including vehicles, household, animals, and other: aeroplane, bicycle, …
Description: 10,000 People - Human Pose Recognition Data. This dataset includes indoor and outdoor scenes.This dataset covers males and females. …
The dataset contains aerial agricultural images of a potato field with manual labels of healthy and stressed plant regions. The …
A2D (Actor-Action Dataset) is a dataset for simultaneously inferring actors and actions in videos. A2D has seven actor classes (adult, …
AI-TOD comes with 700,621 object instances for eight categories across 28,036 aerial images. Compared to existing object detection datasets in …
We introduce the AODRaw dataset, which offers 7,785 high-resolution real RAW images with 135,601 annotated instances spanning 62 categories, capturing …
Datasets drive vision progress, yet existing driving datasets are impoverished in terms of visual content and supported tasks to study …
The COCO (Common Objects in Context) dataset is a large-scale object detection, segmentation, and captioning dataset. It is designed to …
COCO-O(ut-of-distribution) contains 6 domains (sketch, cartoon, painting, weather, handmake, tattoo) of COCO objects which are hard to be detected by …
CPPE - 5 (Medical Personal Protective Equipment) is a new challenging dataset with the goal to allow the study of …
The CityPersons dataset is a subset of Cityscapes which only consists of person annotations. There are 2975 images for training, …
In Clipart1k, the target domain classes to be detected are the same as those in the source domain. All the …
Comic2k is a dataset used for cross-domain object detection which contains 2k comic images with image and instance-level annotations. Image …
CrowdHuman is a large and rich-annotated human detection dataset, which contains 15,000, 4,370 and 5,000 images collected from the Internet …
DSEC is a stereo camera dataset in driving scenarios that contains data from two monochrome event cameras and two global …
For the Drone-vs-Bird Detection Challenge 2021, 77 different video sequences have been made available as training data. These video sequences …
The ELEVATER benchmark is a collection of resources for training, evaluating, and analyzing language-image models on image classification and object …
VD4UAV is an altitude-sensitive benchmark dataset designed to evade vehicle detection in Unmanned Aerial Vehicle (UAV) imagery. This dataset is …
Object detection benchmark for logo detection. Images are natural scenes. Each image contains multiple objects, and each image has a …
Prophesee’s GEN1 Automotive Detection Dataset is the largest Event-Based Dataset to date. The dataset was recorded using a PROPHESEE GEN1 …
GMOT-40 is the first public dense dataset for Generic Multiple Object Tracking (GMOT). It contains 40 carefully annotated sequences evenly …
GRAZPEDWRI-DX is a public dataset of 20,327 pediatric wrist trauma X-ray images released by the University of Medicine of Graz. …
IndustReal is an ego-centric, multi-modal dataset where 27 participants are challenged to perform assembly and maintenance procedures on a construction-toy …
The Instance Segmentation task, an extension of the well-known Object Detection task, is of great help in many areas, such …
The LeukemiaAttri dataset is a large-scale, multi-domain collection of microscopy images derived from leukemia patient samples, enriched with detailed morphological …
MJU-Waste is an RGBD waste object segmentation dataset that is made public to facilitate future research in this area. Source: …
Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …
MUSES offers 2500 multi-modal scenes, evenly distributed across various combinations of weather conditions (clear, fog, rain, and snow) and types …
Manga109 has been compiled by the Aizawa Yamasaki Matsui Laboratory, Department of Information and Communication Engineering, the Graduate School of …
Natural Adversarial Objects (NAO) is a new dataset to evaluate the robustness of object detection models. NAO contains 7,934 images …
Objects365 is a large-scale object detection dataset, Objects365, which has 365 object categories over 600K training images. More than 10 …
OoDIS is a benchmark dataset for anomaly instance segmentation, crucial for autonomous vehicle safety. It extends existing anomaly segmentation benchmarks …
OpenImages V6 is a large-scale dataset , consists of 9 million training images, 41,620 validation samples, and 125,456 test samples. …
The PASCAL Visual Object Classes (VOC) 2012 dataset contains 20 object categories including vehicles, household, animals, and other: aeroplane, bicycle, …
PASCAL VOC 2007 is a dataset for image recognition. The twenty object classes that have been selected are: Person: person …
People-Art is an object detection dataset which consists of people in 43 different styles. People contained in this dataset are …
SA-Det-100k is a large-scale class-agnostic object detection dataset for Research Purposes only. The dataset is based on a subset of …
Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …
This work contributes a large, complex, and realistic high-quality safety clothing and helmet detection (SFCHD) dataset. The dataset comprises 12,373 …
The SIXray dataset is constructed by the Pattern Recognition and Intelligent System Development Laboratory, University of Chinese Academy of Sciences. …
STN PLAD is a high-resolution and real-world image dataset of multiple high-voltage power line components. It has 2,409 annotated objects …
SeaDronesSee is a large-scale data set aimed at helping develop systems for Search and Rescue (SAR) using Unmanned Aerial Vehicles …
The Songdo Vision dataset provides high-resolution (4K, 3840×2160 pixels) RGB images annotated with categorized axis-aligned bounding boxes (BBs) for vehicle …
SpaceNet 1: Building Detection v1 is a dataset for building footprint detection. The data is comprised of 382,534 building footprints, …
SpaceNet 2: Building Detection v2 - is a dataset for building footprint detection in geographically diverse settings from very high …
Consists of 100 challenging video sequences captured from real-world traffic scenes (over 140,000 frames with rich annotations, including occlusion, weather, …
UAVDT is a large scale challenging UAV Detection and Tracking benchmark (i.e., about 80, 000 representative frames from 10 hours …
The UAVVaste dataset consists to date of 772 images and 3716 annotations. The main motivation for creation of the dataset …
VEDAI is a dataset for Vehicle Detection in Aerial Imagery, provided as a tool to benchmark automatic target recognition algorithms …
Visual Genome contains Visual Question Answering data in a multi-choice setting. It consists of 101,174 images from MSCOCO with 1.7 …
A Multi-Task 4D Radar-Camera Fusion Dataset for Autonomous Driving on Water Surfaces description of the dataset * WaterScenes, the first …
Watercolor2k is a dataset used for cross-domain object detection which contains 2k watercolor images with image and instance-level annotations.
The Waymo Open Dataset is comprised of high resolution sensor data collected by autonomous vehicles operated by the Waymo Driver …
WiderPerson contains a total of 13,382 images with 399,786 annotations, i.e., 29.87 annotations per image, which means this dataset contains …
iSAID contains 655,451 object instances for 15 categories across 2,806 high-resolution images. The images of iSAID is the same as …
The nuScenes dataset is a large-scale autonomous driving dataset. The dataset has 3D bounding boxes for 1000 scenes collected in …
The General Robust Image Task (GRIT) Benchmark is an evaluation-only benchmark for evaluating the performance and robustness of vision systems …
IllusionVQA is a Visual Question Answering (VQA) dataset with two sub-tasks. The first task tests comprehension on 435 instances in …
The Mall is a dataset for crowd counting and profiling research. Its images are collected from publicly accessible webcam. It …
PASCAL VOC 2007 is a dataset for image recognition. The twenty object classes that have been selected are: Person: person …
CIFAR10-DVS is an event-stream dataset for object classification. 10,000 frame-based images that come from CIFAR-10 dataset are converted into 10,000 …
Comprises 11 hand gesture categories from 29 subjects under 3 illumination conditions. Source: [A Low Power, Fully Event-Based Gesture Recognition …
The MECCANO dataset is the first dataset of egocentric videos to study human-object interactions in industrial-like settings. The MECCANO dataset …
A large real-world event-based dataset for object classification. Source: HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classification
The Neuromorphic-Caltech101 (N-Caltech101) dataset is a spiking version of the original frame-based Caltech101 dataset. The original dataset contained both a …
The 'shape bias' dataset was introduced in Geirhos et al. (ICLR 2019) and consists of 224x224 images with conflicting texture …
The General Robust Image Task (GRIT) Benchmark is an evaluation-only benchmark for evaluating the performance and robustness of vision systems …
In this work, we propose a general dataset for Color-Event camera based Single Object Tracking, termed COESOT. It contains 1354 …
Large-scale single-object tracking dataset, containing 108 sequences with a total length of 1.5 hours. FE108 provides ground truth annotations on …
KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) is one of the most popular datasets for use in mobile …
Multi-camera Multiple People Tracking (MMPTRACK) dataset has about 9.6 hours of videos, with over half a million frame-wise annotations. The …
Perception Test is a benchmark designed to evaluate the perception and reasoning skills of multimodal models. It introduces real-world videos …
Most existing MOT datasets are captured using pinhole cameras, which are characterized by a narrow-FoV and linear sensor motion. However, …
SeaDronesSee is a large-scale data set aimed at helping develop systems for Search and Rescue (SAR) using Unmanned Aerial Vehicles …
VisEvent (Visible-Event benchmark) is a dataset constructed for the evaluation of tracking by combing visible and event cameras. VisEvent is …
The YCB-Video dataset is a large-scale video dataset for 6D object pose estimation. provides accurate 6D poses of 21 objects …
Dataset for one-shot segmentation. Source: One-Shot Segmentation in Clutter
JHMDB is an action recognition dataset that consists of 960 video sequences belonging to 21 actions. It is a subset …
Spatio-temporal action detection is an important and challenging problem in video understanding. The existing action detection benchmarks are limited in …
Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …
Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …
Objects365 is a large-scale object detection dataset, Objects365, which has 365 object categories over 600K training images. More than 10 …
The ADE20K semantic segmentation dataset contains more than 20K scene-centric images exhaustively annotated with pixel-level objects and object parts labels. …
Cityscapes is a large-scale database which focuses on semantic understanding of urban street scenes. It provides semantic, instance-wise, and dense …
The data set contains 38 patches (of the same size), each consisting of a true orthophoto (TOP) extracted from a …
iSAID contains 655,451 object instances for 15 categories across 2,806 high-resolution images. The images of iSAID is the same as …
Introduced by Singh, Sumeet S.. “Teaching Machines to Code: Neural Markup Generation with Visual Attention.” ArXiv abs/1802.05415 (2018): n. pag. …
A prebuilt dataset for OpenAI's task for image-2-latex system. Includes total of ~100k formulas and images splitted into train, validation …
Spring is a large, high-resolution and high-detail, computer-generated benchmark for scene flow, optical flow, and stereo. Based on rendered scenes …
The 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across 20 different newsgroups.
ADE-OoD is a public benchmark for dense out-of-distribution detection in general natural images. It measures the ability to detect and …
The CIFAR-10 database (Canadian Institute For Advanced Research database) is a large collection of natural color images. It has a …
The CIFAR-100 dataset (Canadian Institute for Advanced Research, 100 classes) is a subset of the Tiny Images dataset and consists …
Fashion-MNIST is a dataset comprising of 28×28 grayscale images of 70,000 fashion products from 10 categories, with 7,000 images per …
The NINCO (No ImageNet Class Objects) dataset is introduced in the ICML 2023 paper In or Out? Fixing ImageNet Out-of-Distribution …
OpenImage-O is built for the ID dataset ImageNet-1k. It is manually annotated, comes with a naturally diverse distribution, and has …
A benchmark dataset for out-of-distribution detection. ImageNet-1k is in-distribution, while Places is out-of-distribution.
A benchmark dataset for out-of-distribution detection. ImageNet-1k is in-distribution, while SUN is out-of-distribution.
A benchmark dataset for out-of-distribution detection. ImageNet-1k is in-distribution, while Textures is out-of-distribution.
A benchmark dataset for out-of-distribution detection. ImageNet-1k is in-distribution, while iNaturalist is out-of-distribution.
The Stanford Sentiment Treebank is a corpus with fully labeled parse trees that allows for a complete analysis of the …
The STL-10 is an image dataset derived from ImageNet and popularly used to evaluate algorithms of unsupervised feature learning or …
We present the Dayton Annotated LiDAR Earth Scan (DALES) data set, a new large-scale aerial LiDAR data set with over …
For many fundamental scene understanding tasks, it is difficult or impossible to obtain per-pixel ground truth labels from real images. …
KITTI-360 is a large-scale dataset that contains rich sensory information and full annotations. It is the successor of the popular …
LaRS is the largest and most diverse panoptic maritime obstacle detection dataset. Highlights: * Diverse scenes from manual capture, public …
MUSES offers 2500 multi-modal scenes, evenly distributed across various combinations of weather conditions (clear, fog, rain, and snow) and types …
PASTIS is a benchmark dataset for panoptic and semantic segmentation of agricultural parcels from satellite image time series. It is …
Extension of the PASTIS benchmark with radar and optical image time series.
PanNuke is a semi automatically generated nuclei instance segmentation and classification dataset with exhaustive nuclei labels across 19 different tissue …
The Stanford 3D Indoor Scene Dataset (S3DIS) dataset contains 6 large-scale indoor areas with 271 rooms. Each point in the …
ScanNet is an instance-level indoor RGB-D dataset that includes both 2D and 3D data. It is a collection of labeled …
SemanticKITTI is a large-scale outdoor-scene dataset for point cloud semantic segmentation. It is derived from the KITTI Vision Odometry Benchmark …
The Action-Camera Parking Dataset contains 293 images captured at a roughly 10-meter height using a GoPro Hero 6 camera. It …
The PKLot dataset contains 12,417 images of parking lots and 695,899 images of parking spaces segmented from them, which were …
The SPKL dataset contains 1203 images of parking lots divided into 11 categories regarding vision conditions (including the 'winter' category …
The Cityscapes Panoptic Parts dataset introduces part-aware panoptic segmentation annotations for the Cityscapes dataset. It extends the original panoptic annotations …
The Pascal Panoptic Parts dataset consists of annotations for the part-aware panoptic segmentation task on the PASCAL VOC 2010 dataset. …
A benchmark for matching and registration of partial point clouds with time-varying geometry. It is constructed using randomly selected 1761 …
PA-100K is a recent-proposed large pedestrian attribute dataset, with 100,000 images in total collected from outdoor surveillance cameras. It is …
The PEdesTrian Attribute dataset (PETA) is a dataset fore recognizing pedestrian attributes, such as gender and clothing style, at a …
The Richly Annotated Pedestrian (RAP) dataset is a dataset for pedestrian attribute recognition. It contains 41,585 images collected from indoor …
UAV-Human is a large dataset for human behavior understanding with UAVs. It contains 67,428 multi-modal video sequences and 119 subjects …
The CityPersons dataset is a subset of Cityscapes which only consists of person annotations. There are 2975 images for training, …
MMPD Dataset is proposed in ECCV'2024 "When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset".
Presents half a million samples and structured meta-data to encourage further research and societal engagement. Source: [OmniArt: Multi-task Deep Learning …
A dataset of 90,000 high-resolution nature landscape images, crawled from Unsplash and Flickr and preprocessed with Mask R-CNN and Inception …
This data set consists of over 1500 one- and two-minute EEG recordings, obtained from 109 volunteers.
WiGesture dataset contains data related to gesture recognition and people id identification in a meeting room scenario. The dataset provides …
Person re-ID matches persons across multiple non-overlapping cameras. Despite the increasing deployment of airborne platforms in surveillance, current existing person …
Aerial-ground person re-identification (Re-ID) presents unique challenges in computer vision, stemming from the distinct differences in viewpoints, poses, and resolutions …
Clothes-Changing Video person re-ID (CCVID) is a dataset constructed from the raw data of a gait recognition dataset, i.e. FVG. …
The CUKL-SYSY dataset is a large scale benchmark for person search, containing 18,184 images and 8,432 identities. Different from previous …
The CUHK03 consists of 14,097 images of 1,467 different identities, where 6 campus cameras were deployed for image collection and …
CUHK03-C is an evaluation set that consists of algorithmically generated corruptions applied to the CUHK03 test-set. These corruptions consist of …
The ClonedPerson dataset is a large-scale synthetic person re-identification dataset introduced in the paper "Cloning Outfits from Real-World Images to …
The DukeMTMC-VideoReID (Duke Multi-Tracking Multi-Camera Video-based ReIDentification) dataset is a subset of the DukeMTMC for video-based person re-ID. The dataset …
The DukeMTMC-reID (Duke Multi-Tracking Multi-Camera ReIDentification) dataset is a subset of the DukeMTMC for image-based person re-ID. The dataset is …
The growing importance of person re-identification in computer vision has highlighted the need for more extensive and diverse datasets. In …
The IUST_PersonReID dataset was developed to address limitations in existing person re-identification datasets by including cultural and environmental contexts unique …
LTCC contains 17,119 person images of 152 identities, and each identity is captured by at least two cameras. The dataset …
MARS (Motion Analysis and Re-identification Set) is a large scale video based person reidentification dataset, an extension of the Market-1501 …
MSMT17 is a multi-scene multi-time person re-identification dataset. The dataset consists of 180 hours of videos, captured by 12 outdoor …
MSMT17-C is an evaluation set that consists of algorithmically generated corruptions applied to the MSMT17 test-set. These corruptions consist of …
Market-1501 is a large-scale public benchmark dataset for person re-identification. It contains 1501 identities which are captured by six different …
Market-1501-C is an evaluation set that consists of algorithmically generated corruptions applied to the Market-1501 test-set. These corruptions consist of …
Occluded REID is an occluded person dataset captured by mobile cameras, consisting of 2,000 images of 200 occluded persons (see …
Occluded-DukeMTMC contains 15,618 training images, 17,661 gallery images, and 2,210 occluded query images. The experiment results on Occluded-DukeMTMC will demonstrate …
We introduce Occluded PoseTrack-ReID (or simply Occ-PTrack), a new ReID dataset we built out of the annotation available with PoseTrack21, …
P-DukeMTMC-reID is a modified version based on DukeMTMC-reID dataset. There are 12,927 images (665 identifies) in training set, 2,163 images …
This dataset consists of 33698 images from 221 identities. Each person in Cameras A and B is wearing the same …
PRID 2011 is a person reidentification dataset that provides multiple person trajectories recorded from two different static surveillance cameras, monitoring …
Partial REID is a specially designed partial person reidentification dataset that includes 600 images from 60 people, with 5 full-body …
RegDB is used for Visible-Infrared Re-ID which handles the cross-modality matching between the daytime visible and night-time infrared images. The …
SYSU-30k contains 30k categories of persons, which is about 20 times larger than CUHK03 (1.3k categories) and Market1501 (1.5k categories), …
The SYSU-MM01 is a dataset collected for the Visible-Infrared Re-identification problem. The images in the dataset were obtained from 491 …
SYSU-MM01-C is an evaluation set that consists of algorithmically generated corruptions applied to the SYSU-MM01 test-set. These corruptions consist of …
SenseReID is a person re-identification dataset for evaluating ReID models. It is captured from real surveillance cameras and the person …
A novel large-scale corpus of manual annotations for the SoccerNet video dataset, along with open challenges to encourage more research …
UAV-Human is a large dataset for human behavior understanding with UAVs. It contains 67,428 multi-modal video sequences and 119 subjects …
Person re-identification (Reid) is now an active research topic for AI-based video surveillance applications such as specific person search, but …
The eSports Sensors dataset contains sensor data collected from 10 players in 22 matches in League of Legends. The sensor …
The iLIDS-VID dataset is a person re-identification dataset which involves 300 different pedestrians observed across two disjoint camera views in …
The CUKL-SYSY dataset is a large scale benchmark for person search, containing 18,184 images and 8,432 identities. Different from previous …
PRW is a large-scale dataset for end-to-end pedestrian detection and person recognition in raw video frames. PRW is introduced to …
J. W. Pennebaker and L. A. King, “Linguistic styles: Language use as an individual difference,” J. Pers. Soc. Psychol., vol. …
SynthPAI was created to provide a dataset that can be used to investigate the personal attribute inference (PAI) capabilities of …
The DreamBooth dataset is a collection of images used for fine-tuning text-to-image diffusion models for subject-driven generation¹. Here are some …
PerSeg is a dataset for personalized segmentation. The raw images are collect from the training data of subject driven diffusion …
We collect a dataset of 805 clean videos that show the action of pouring water in a container. Our dataset …
PointCloud-C is the very first test-suite for point cloud robustness analysis under corruptions. - Two sets: ModelNet-C for point cloud …
The Completion3D benchmark is a dataset for evaluating state-of-the-art 3D Object Point Cloud Completion methods. Ggiven a partial 3D object …
ShapeNet is a large scale repository for 3D CAD models developed by researchers from Stanford University, Princeton University and the …
A large-scale dataset for the point cloud completion task on the ShapeNet dataset.
ShapeNet is a large scale repository for 3D CAD models developed by researchers from Stanford University, Princeton University and the …
A novel dataset and benchmark, which features 1482 RGB-D scans of 478 environments across multiple time steps. Each scene includes …
FPv1 (prior name FAUST-partial) is a 3D registration benchmark dataset created to address the lack of data variability in the …
KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) is one of the most popular datasets for use in mobile …
PointCloud-C is the very first test-suite for point cloud robustness analysis under corruptions. - Two sets: ModelNet-C for point cloud …
DTU MVS 2014 is a multi-view stereo dataset, which is an order of magnitude larger in number of scenes and …
We present a benchmark for image-based 3D reconstruction. The benchmark sequences were acquired outside the lab, in realistic conditions. Ground-truth …
Perception Test is a benchmark designed to evaluate the perception and reasoning skills of multimodal models. It introduces real-world videos …
PointOdyssey is a large-scale synthetic dataset, and data generation framework, for the training and evaluation of long-term fine-grained tracking algorithms. …
TAP-Vid is a benchmark which contains both real-world videos with accurate human annotations of point tracks, and synthetic videos with …
The 3D Poses in the Wild dataset is the first dataset in the wild with accurate 3D poses for evaluation. …
A large-scale dataset named AIC (AI Challenger) with three sub-datasets, human keypoint detection (HKD), large-scale attribute dataset (LAD) and image …
ApolloCar3DT is a dataset that contains 5,277 driving images and over 60K car instances, where each car is fitted with …
BRACE is a dataset for audio-conditioned dance motion synthesis challenging common assumptions for this task: - strong music-dance correlation - …
The COCO (Common Objects in Context) dataset is a large-scale object detection, segmentation, and captioning dataset. It is designed to …
The CrowdPose dataset contains about 20,000 images and a total of 80,000 human poses with 14 labeled keypoints. The test …
InLoc is a dataset with reference 6DoF poses for large-scale indoor localization. Query photographs are captured by mobile phones at …
The MERL-RAV (MERL Reannotation of AFLW with Visibility) Dataset contains over 19,000 face images in a full range of head …
The MPII Human Pose Dataset for single person pose estimation is composed of about 25K images of which 15K are …
MPII Human Pose Dataset is a dataset for human pose estimation. It consists of around 25k images extracted from online …
This dataset focuses on heavily occluded human with comprehensive annotations including bounding-box, humans pose and instance mask. This dataset contains …
The Pix3D dataset is a large-scale benchmark of diverse image-shape pairs with pixel-level 2D-3D alignment. Pix3D has wide applications in …
A novel dataset facilitating multimodal and Synergetic sociAL Scene Analysis. Source: SALSA: A Novel Dataset for Multimodal Group Behavior Analysis
UAV-Human is a large dataset for human behavior understanding with UAVs. It contains 67,428 multi-modal video sequences and 119 subjects …
The Human3.6M dataset is one of the largest motion capture datasets, which consists of 3.6 million human poses and corresponding …
MPI-INF-3DHP is a 3D human body pose estimation dataset consisting of both constrained indoor and complex outdoor scenes. It records …
SEVIR is an annotated, curated and spatio-temporally aligned dataset containing over 10,000 weather events that each consist of 384 km …
The nuScenes dataset is a large-scale autonomous driving dataset. The dataset has 3D bounding boxes for 1000 scenes collected in …
IndustReal is an ego-centric, multi-modal dataset where 27 participants are challenged to perform assembly and maintenance procedures on a construction-toy …
The Caltech101 dataset contains images from 101 object categories (e.g., “helicopter”, “elephant” and “chair” etc.) and a background category that …
The Describable Textures Dataset (DTD) contains 5640 texture images in the wild. They are annotated with human-centric attributes inspired by …
Eurosat is a dataset and deep learning benchmark for land use and land cover classification. The dataset is based on …
FGVC-Aircraft contains 10,200 images of aircraft, with 100 images for each of 102 different aircraft model variants, most of which …
The Food-101 dataset consists of 101 food categories with 750 training and 250 test images per category, making a total …
The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the …
The ImageNet-A dataset consists of real-world, unmodified, and naturally occurring examples that are misclassified by ResNet models. Source: [On Robustness …
ImageNet-R(endition) contains art, cartoons, deviantart, graffiti, embroidery, graphics, origami, paintings, patterns, plastic objects, plush objects, sculptures, sketches, tattoos, toys, and …
Powered by the ImageNet dataset, unsupervised learning on large-scale data has made significant advances for classification tasks. There are two …
Oxford 102 Flower is an image classification dataset consisting of 102 flower categories. The flowers chosen to be flower commonly …
The Oxford-IIIT Pet Dataset has 37 categories with roughly 200 images for each class. The images have a large variations …
The Scene UNderstanding (SUN) database contains 899 categories and 130,519 images. There are 397 well-sampled categories to evaluate numerous state-of-the-art …
The Stanford Cars dataset consists of 196 classes of cars with a total of 16,185 images, taken from the rear. …
UCF101 dataset is an extension of UCF50 and consists of 13,320 video clips, which are classified into 101 categories. These …
The CIFAR-10 database (Canadian Institute For Advanced Research database) is a large collection of natural color images. It has a …
The COCO (Common Objects in Context) dataset is a large-scale object detection, segmentation, and captioning dataset. It is designed to …
The IJB-B dataset is a template-based face dataset that contains 1845 subjects with 11,754 images, 55,025 frames and 7,011 videos …
The IJB-C dataset is a video-based face recognition dataset. It is an extension of the IJB-A dataset with about 138,000 …
The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the …
The LFW dataset contains 13,233 images of faces collected from the web. This dataset consists of the 5749 identities with …
A new multilingual language model benchmark that is composed of 40+ languages spanning several scripts and linguistic families containing round …
To enrich the diversity, we also collect 92 images which are suitable for saliency detection from DAVIS [27], a densely …
The DUT-OMRON dataset is used for evaluation of Salient Object Detection task and it contains 5,168 high quality images. The …
The Extended Complex Scene Saliency Dataset (ECSSD) is comprised of complex scenes, presenting textures and structures common to real-world images. …
HKU-IS is a visual saliency prediction dataset which contains 4447 challenging images, most of which have either low contrast or …
There exist several datasets for saliency detection, but none of them is specifically designed for high-resolution salient object detection. High-Resolution …
The Image Shadow Triplets dataset (ISTD) is a dataset for shadow understanding that contains 1870 image triplets of shadow image, …
PASCAL-S is a dataset for salient object detection consisting of a set of 850 images from PASCAL VOC 2010 validation …
SBU-Kinect-Interaction dataset version 2.0 comprises of RGB-D video sequences of humans performing interaction activities that are recording using the Microsoft …
SOC (Salient Objects in Clutter) is a dataset for Salient Object Detection (SOD). It includes images with salient and non-salient …
Recent salient object detection (SOD) methods based on deep neural network have achieved remarkable performance. However, most of existing SOD …
The ADE20K semantic segmentation dataset contains more than 20K scene-centric images exhaustively annotated with pixel-level objects and object parts labels. …
CelebAMask-HQ is a large-scale face image dataset that has 30,000 high-resolution face images selected from the CelebA dataset by following …
The Parkinson’s Progression Markers Initiative (PPMI) dataset originates from an observational clinical and longitudinal study comprising evaluations of people with …
Fashion trends are constantly evolving, but a trained eye can estimate with some accuracy the signature elements of a particular …
SQA3D is a dataset for embodied scene understanding, where an agent needs to comprehend the scene it situates from an …
The Actor-Action Dataset (A2D) by Xu et al. [29] serves as the largest video dataset for the general actor and …
CLEVR-Ref+ is a synthetic diagnostic dataset for referring expression comprehension. The precise locations and attributes of the objects are readily …
PhraseCut is a dataset consisting of 77,262 images and 345,486 phrase-region pairs. The dataset is collected on top of the …
The RefCOCO dataset is a referring expression generation (REG) dataset used for tasks related to understanding natural language expressions that …
There exist previous works [6, 10] that constructed referring segmentation datasets for videos. Gavrilyuk et al. [6] extended the A2D …
Our task is to localize and provide a pixel-level mask of an object on all video frames given a language …
ColonINST is a large-scale instruction tuning dataset designed for multimodal analysis in colonoscopy. This dataset comprises 62 categories, 303,001 colonoscopy …
ColonINST is a large-scale instruction tuning dataset designed for multimodal analysis in colonoscopy. This dataset comprises 62 categories, 303,001 colonoscopy …
Procgen Benchmark includes 16 simple-to-use procedurally-generated environments which provide a direct measure of how quickly a reinforcement learning agent learns …
Countix is a real world dataset of repetition videos collected in the wild (i.e.YouTube) covering a wide range of semantic …
Counting repetitive actions are widely seen in human activities such as physical exercise. Existing methods focus on performing repetitive action …
The UCFRep dataset contains 526 annotated repetitive action videos. This dataset is built from the action recognition dataset UCF101. Source: …
It contains about 28K medium quality animal images belonging to 10 categories: dog, cat, horse, spyder, butterfly, chicken, sheep, cow, …
SciDocs evaluation framework consists of a suite of evaluation tasks designed for document-level tasks. Source: Allen Institute for AI
CHASE_DB1 is a dataset for retinal vessel segmentation which contains 28 color retina images with the size of 999×960 pixels …
The Digital Retinal Images for Vessel Extraction (DRIVE) dataset is a dataset for retinal vessel segmentation. It consists of a …
The HRF dataset is a dataset for retinal vessel segmentation which comprises 45 images and is organized as 15 subsets. …
This dataset contains 65 DFIs acquired from patients with POAG at the University of Iowa Hospitals and Clinics. DFIs were …
The STARE (Structured Analysis of the Retina) dataset is a dataset for retinal vessel segmentation. It contains 20 equal-sized (700×605) …
The Leuven-Haifa dataset contains 240 disc-centered fundus images of 224 unique patients (75 patients with normal tension glaucoma, 63 patients …
HotpotQA is a question answering dataset collected on the English Wikipedia, containing about 113K crowd-sourced questions that are constructed to …
In this project, we introduce InfoSeek, a visual question answering dataset tailored for information-seeking questions that cannot be answered with …
The dataset contains single-shot videos taken from moving cameras in underwater environments. The first shard of a new Marine Video …
The Natural Questions corpus is a question answering dataset containing 307,373 training examples, 7,830 development examples, and 7,842 test examples. …
Outside Knowledge Visual Question Answering (OK-VQA) includes more than 14,000 questions that require external knowledge to answer. Source: [OK-VQA: A …
This dataset contains 21,889 outfits from polyvore.com, in which 17,316 are for training, 1,497 for validation and 3,076 for testing. …
The task of PubMedQA is to answer research questions with yes/no/maybe (e.g.: Do preoperative statins reduce atrial fibrillation after coronary …
PubMedQA-MetaGen: Metadata-Enriched PubMedQA Corpus Dataset Summary PubMedQA-MetaGen is a metadata-enriched version of the PubMedQA biomedical question-answering dataset, created using the …
Quora Question Pairs (QQP) dataset consists of over 400,000 question pairs, and each question pair is annotated with a binary …
The ToolLens dataset consists of 18,770 concise yet intentionally multifaceted queries, each associated with 1 to 3 verified tools out …
A novel remote sensing dataset for evaluating a geospatial machine learning model's ability to learn long range dependencies and spatial …
We observe that satellite imagery is a powerful source of information as it contains more structured and uniform data, compared …
The datasets introduced in Chapter 6 of my PhD thesis are below. See the thesis for more details. If you …
The SUN RGBD dataset contains 10335 real RGB-D images of room scenes. Each RGB image has a corresponding depth and …
Includes 4000 images; 200 from each of 20 categories covering different types of scenes such as Cartoons, Art, Objects, Low …
The DUT-OMRON dataset is used for evaluation of Salient Object Detection task and it contains 5,168 high quality images. The …
The Extended Complex Scene Saliency Dataset (ECSSD) is comprised of complex scenes, presenting textures and structures common to real-world images. …
HKU-IS is a visual saliency prediction dataset which contains 4447 challenging images, most of which have either low contrast or …
The PASCAL Context dataset is an extension of the PASCAL VOC 2010 detection challenge, and it contains pixel-wise labels for …
PASCAL-S is a dataset for salient object detection consisting of a set of 850 images from PASCAL VOC 2010 validation …
Includes 4000 images; 200 from each of 20 categories covering different types of scenes such as Cartoons, Art, Objects, Low …
The SALIency in CONtext (SALICON) dataset contains 10,000 training images, 5,000 validation images and 5,000 test images for saliency prediction. …
The DUT-OMRON dataset is used for evaluation of Salient Object Detection task and it contains 5,168 high quality images. The …
The Extended Complex Scene Saliency Dataset (ECSSD) is comprised of complex scenes, presenting textures and structures common to real-world images. …
HKU-IS is a visual saliency prediction dataset which contains 4447 challenging images, most of which have either low contrast or …
PASCAL-S is a dataset for salient object detection consisting of a set of 850 images from PASCAL VOC 2010 validation …
The CapMIT1003 database contains captions and clicks collected for images from the MIT1003 database, for which reference eye scanpath are …
ChangeSim is a dataset aimed at online scene change detection (SCD) and more. The data is collected in photo-realistic simulation …
Scene change detection (SCD) dataset tailored for generalizable SCD algorithm. It consists of change-labeld images from SF-XL, St Lucia, Nordland …
The Arabic dataset is scraped mainly from الموسوعة الشعرية and الديوان. After merging both, the total number of verses is …
Street-View images captured at different timestamps often undergo geometric transformations. To make the VL-CMU-CD dataset more challenging and closer to …
This is a 21 class land use image dataset meant for research purposes. There are 100 images for each of …
Argoverse 2 (AV2) is a collection of three datasets for perception and forecasting research in the self-driving domain. The annotated …
Spring is a large, high-resolution and high-detail, computer-generated benchmark for scene flow, optical flow, and stereo. Based on rendered scenes …
AVD focuses on simulating robotic vision tasks in everyday indoor environments using real imagery. The dataset includes 20,000+ RGB-D images …
The GoogleEarth dataset is collected from Google Earth Studio, including 400 orbit trajectories in Manhattan and Brooklyn. Each trajectory consists …
KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) is one of the most popular datasets for use in mobile …
The OSM dataset, sourced from OpenStreetMap, is composed of the rasterized semantic maps and height fields of 80 cities worldwide, …
The Replica Dataset is a dataset of high quality reconstructions of a variety of indoor spaces. Each reconstruction has clean …
ViZDoom is an AI research platform based on the classical First Person Shooter game Doom. The most popular game mode …
4D-OR includes a total of 6734 scenes, recorded by six calibrated RGB-D Kinect sensors 1 mounted to the ceiling of …
Operating rooms (ORs) are complex, high-stakes environments requiring precise understanding of interactions among medical staff, tools, and equipment for enhancing …
The Visual Relationship Dataset (VRD) contains 4000 images for training and 1000 for testing annotated with visual relationships. Bounding boxes …
Visual Genome contains Visual Question Answering data in a multi-choice setting. It consists of 101,174 images from MSCOCO with 1.7 …
PGDP5K is a dataset consisting of 5000 diagram samples composed of 16 shapes, covering 5 positional relations, 22 symbol types …
MovieNet is a holistic dataset for movie understanding. MovieNet contains 1,100 movies with a large amount of multi-modal data, e.g. …
ScanNet is an instance-level indoor RGB-D dataset that includes both 2D and 3D data. It is a collection of labeled …
StreetHazards is a synthetic dataset for anomaly detection, created by inserting a diverse array of foreign objects into driving scenes …
UAVid is a high-resolution UAV semantic segmentation dataset as a complement, which brings new challenges, including large scale variation, moving …
The COCO-Text dataset is a dataset for text detection and recognition. It is based on the MS COCO dataset, which …
The ICDAR 2013 dataset consists of 229 training images and 233 testing images, with word-level annotations provided. It is the …
ICDAR 2015 was a scene text detection used for the ICDAR 2015 conference.
The MSRA-TD500 dataset is a text detection dataset that contains 300 training images and 200 test images. Text regions are …
The SCUT-CTW1500 dataset contains 1,500 images: 1,000 for training and 500 for testing. In particular, it provides 10,751 cropped text …
Total-Text is a text detection dataset that consists of 1,555 images with a variety of text types including horizontal, multi-oriented, …
The COCO-Text dataset is a dataset for text detection and recognition. It is based on the MS COCO dataset, which …
The CUTE80 dataset is a lightweight collection of images specifically designed for text detection in natural scene images. It contains …
The heavily occluded scene text (HOST) dataset is a dataset that contains images of text with occlusions. It is used …
The IC13 dataset contains 561 images: 420 for training and 141 for testing. It inherits data from the IC03 dataset …
The ICDAR2003 dataset is a dataset for scene text recognition. It contains 507 natural scene images (including 258 training images …
The IIIT5K dataset contains 5,000 text instance images: 2,000 for training and 3,000 for testing. It contains words from street …
The Street View Text (SVT) dataset was harvested from Google Street View. Image text in this data exhibits high variability …
SVTP dataset stands for Scene Text Recognition Datasets. It is a collection of 4 popular Latin/English scene text recognition datasets, …
The Weakly Occluded Scene Text (WOST) dataset is a public dataset for scene text segmentation. It is used to generate …
The Audio Visual Scene-Aware Dialog (AVSD) dataset, or DSTC7 Track 3, is a audio-visual dataset for dialogue understanding. The goal …
KITTI360-EX is a dataset for outer- and inner FoV expansion. It contains 76k pinhole images as well as 76k spherical …
SA-1B consists of 11M diverse, high resolution, licensed, and privacy protecting images and 1.1B high-quality segmentation masks. Source: Segment Anything …
This dataset consists of computer-generated images for gas leakage segmentation. It features diverse backgrounds, interfering foreground objects, and precise ground …
PETRAW data set was composed of 150 sequences of peg transfer training sessions. The objective of the peg transfer session …
The CIFAR-10 database (Canadian Institute For Advanced Research database) is a large collection of natural color images. It has a …
The CIFAR-100 dataset (Canadian Institute for Advanced Research, 100 classes) is a subset of the Tiny Images dataset and consists …
CREMA-D is an emotional multimodal actor data set of 7,442 original clips from 91 actors. These clips were from 48 …
DABS is a domain-agnostic benchmark for self-supervised learning to encourage research and progress towards domain-agnostic methods.
This split was introduced in TEMI (BMVC 2023) Adaloglou, Nikolas, Felix Michels, Hamza Kalisch, and Markus Kollmann. "Exploring the Limits …
The STL-10 is an image dataset derived from ImageNet and popularly used to evaluate algorithms of unsupervised feature learning or …
Tiny ImageNet contains 100000 images of 200 classes (500 for each class) downsized to 64×64 colored images. Each class has …
We release expert-made scribble annotations for the medical ACDC dataset [1]. The released data must be considered as extending the …
The ADE20K semantic segmentation dataset contains more than 20K scene-centric images exhaustively annotated with pixel-level objects and object parts labels. …
AI-TOD comes with 700,621 object instances for eight categories across 28,036 aerial images. Compared to existing object detection datasets in …
The AIRS (Aerial Imagery for Roof Segmentation) dataset provides a wide coverage of aerial imagery with 7.5 cm resolution and …
ATLANTIS is a benchmark for semantic segmentation of waterbody images. This dataset covers a wide range of natural waterbodies such …
ApolloScape is a large dataset consisting of over 140,000 video frames (73 street scene videos) from various locations in China …
A high-resolution semantic segmentation dataset with 50 validation and 100 test objects. Image resolution in BIG ranges from 2048×1600 to …
The dataset offers tag and mask annotations for image-text pairs from the CC3M validation set. Tag annotations denote words that …
The dataset includes annotations for burned area delineation and land cover segmentation, with a focus on European soil. The dataset …
The COCO (Common Objects in Context) dataset is a large-scale object detection, segmentation, and captioning dataset. It is designed to …
The Common Objects in COntext-stuff (COCO-stuff) dataset is a dataset for scene understanding tasks like semantic segmentation, object detection and …
The dataset contains two subsets of synthetic, semantically segmented road-scene images, which have been created for developing and applying the …
CamVid (Cambridge-driving Labeled Video Database) is a road/driving scene understanding database which was originally captured as five video sequences with …
Cityscapes is a large-scale database which focuses on semantic understanding of urban street scenes. It provides semantic, instance-wise, and dense …
Detecting vehicles and representing their position and orientation in the three dimensional space is a key technology for autonomous driving. …
The training and validation data are subsets of the training split of the Cityscapes dataset. The test set is taken …
DADA-seg is a pixel-wise annotated accident dataset, which contains a variety of critical scenarios from traffic accidents. It is used …
DDD17 has over 12 h of a 346x260 pixel DAVIS sensor recording highway and city driving in daytime, evening, night, …
DELIVER is an arbitrary-modal segmentation benchmark, covering Depth, LiDAR, multiple Views, Events, and RGB. Aside from this, the dataset is …
The database consists of 150 annotated pages of three different medieval manuscripts with challenging layouts. Furthermore, we provide a layout …
DSEC is a stereo camera dataset in driving scenarios that contains data from two monochrome event cameras and two global …
Dark Zurich is an image dataset containing a total of 8779 images captured at nighttime, twilight, and daytime, along with …
DensePASS - a novel densely annotated dataset for panoramic segmentation under cross-domain conditions, specifically built to study the Pinhole-to-Panoramic transfer …
From DroneDeploy: We’ve collected a dataset of aerial orthomosaics and elevation images. These have been annotated into 6 different classes: …
Cholecystectomy is a very common abdominal surgical procedure almost ubiquitously performed with a laparoscopic approach, hence guided by an endoscopic …
The French National Institute of Geographical and Forest Information (IGN) has the mission to document and measure land-cover on French …
FMB contains 1500 well-registered infrared and visible image pairs with 14 annotated pixel-level categories. Also, it covers a wide range …
The dataset consists of 96 terrain-corrected (Level-1T) scenes from Landsat 8 OLI and TIRS, covering diverse biomes. This variety supports …
The dataset was created using high-resolution (8 m) satellite imagery from the Gaofen series (Gaofen-2 and Gaofen-6), captured in 2019 …
FoodSeg103 is a new food image dataset containing 7,118 images. Images are annotated with 104 ingredient classes and each image …
This dataset is made up of forward-looking sonar images containing ten classes of underwater debris. The dataset can be used …
The Freiburg Forest dataset was collected using a Viona autonomous mobile robot platform equipped with cameras for capturing multi-spectral and …
HAM10000 is a dataset of 10000 training images for detecting pigmented skin lesions. The authors collected dermatoscopic images from different …
This dataset contains simulated and expert-labelled spectrograms from two radio telescopes: the Hydrogen Epoch of Reionization Array (HERA) in South …
For many fundamental scene understanding tasks, it is difficult or impossible to obtain per-pixel ground truth labels from real images. …
The INRIA Aerial Image Labeling dataset is comprised of 360 RGB tiles of 5000×5000px with a spatial resolution of 30cm/px …
The data set contains 38 patches (of the same size), each consisting of a true orthophoto (TOP) extracted from a …
The data set contains 33 patches (of different sizes), each consisting of a true orthophoto (TOP) extracted from a larger …
Powered by the ImageNet dataset, unsupervised learning on large-scale data has made significant advances for classification tasks. There are two …
KITTI-360 is a large-scale dataset that contains rich sensory information and full annotations. It is the successor of the popular …
Consists of annotated frames containing GI procedure tools such as snares, balloons and biopsy forceps, etc. Beside of the images, …
This dataset contains simulated and expert-labelled spectrograms from two radio telescopes: the Hydrogen Epoch of Reionization Array (HERA) in South …
LaRS is the largest and most diverse panoptic maritime obstacle detection dataset. Highlights: * Diverse scenes from manual capture, public …
Multimodal material segmentation (MCubeS) dataset contains 500 sets of images from 42 street scenes. Each scene has images for four …
Multimodal material segmentation (MCubeS) dataset contains 500 sets of images from 42 street scenes. Each scene has images for four …
MUSES offers 2500 multi-modal scenes, evenly distributed across various combinations of weather conditions (clear, fog, rain, and snow) and types …
The Matterport3D dataset is a large RGB-D dataset for scene understanding in indoor environments. It contains 10,800 panoramic views inside …
Mila Simulated Floods Dataset is a 1.5 square km virtual world using the Unity3D game engine including urban, suburban and …
MixedWM38 Dataset(WaferMap) has more than 38000 wafer maps, including 1 normal pattern, 8 single defect patterns, and 29 mixed defect …
X-ray images in this data set have been acquired from the tuberculosis control program of the Department of Health andHuman …
Nighttime Driving is a dataset of road scenes consisting of 35,000 images ranging from daytime to twilight time and to …
OpenEDS (Open Eye Dataset) is a large scale data set of eye-images captured using a virtual-reality (VR) head mounted display …
The PASCAL Context dataset is an extension of the PASCAL VOC 2010 detection challenge, and it contains pixel-wise labels for …
The PASCAL Visual Object Classes (VOC) 2012 dataset contains 20 object categories including vehicles, household, animals, and other: aeroplane, bicycle, …
PASCAL VOC 2007 is a dataset for image recognition. The twenty object classes that have been selected are: Person: person …
PASCAL VOC 2011 is an image segmentation dataset. It contains around 2,223 images for training, consisting of 5,034 objects. Testing …
PASTIS is a benchmark dataset for panoptic and semantic segmentation of agricultural parcels from satellite image time series. It is …
Extension of the PASTIS benchmark with radar and optical image time series.
PETRAW data set was composed of 150 sequences of peg transfer training sessions. The objective of the peg transfer session …
The increasing incidence of melanoma has recently promoted the development of computer-aided diagnosis systems for the classification of dermoscopic images. …
This dataset for the semantic segmentation of potholes and cracks on the road surface was assembled from 5 other datasets …
https://paperswithcode.com/sota/semantic-segmentation-on-isprs-potsdam
A Video Dataset for Visual Perception and Autonomous Navigation in Unstructured Environments. Website: http://rugd.vision/ The RUGD dataset focuses on semantic …
The Replica Dataset is a dataset of high quality reconstructions of a variety of indoor spaces. Each reconstruction has clean …
The Stanford 3D Indoor Scene Dataset (S3DIS) dataset contains 6 large-scale indoor areas with 271 rooms. Each point in the …
The SBCoseg dataset includes 889 groups of images and each group consists of 18 images with a common object, leading …
The STARE (Structured Analysis of the Retina) dataset is a dataset for retinal vessel segmentation. It contains 20 equal-sized (700×605) …
The SWIMSEG dataset contains 1013 images of sky/cloud patches, along with their corresponding binary segmentation maps. The ground truth annotation …
The SWINSEG dataset contains 115 nighttime images of sky/cloud patches along with their corresponding binary ground truth maps. The ground …
The SWINySEG dataset contains 6768 daytime- and nighttime-images of sky/cloud patches along with their corresponding binary ground truth maps. The …
The SYNTHIA dataset is a synthetic dataset that consists of 9400 multi-viewpoint photo-realistic frames rendered from a virtual city and …
ScanNet is an instance-level indoor RGB-D dataset that includes both 2D and 3D data. It is a collection of labeled …
Semantic3D is a point cloud dataset of scanned outdoor scenes with over 3 billion points. It contains 15 training and …
The SemanticPOSS dataset for 3D semantic segmentation contains 2988 various and complicated LiDAR scans with large quantity of dynamic instances. …
ShapeNet is a large scale repository for 3D CAD models developed by researchers from Stanford University, Princeton University and the …
SpaceNet 1: Building Detection v1 is a dataset for building footprint detection. The data is comprised of 382,534 building footprints, …
Structured3D is a large-scale photo-realistic dataset containing 3.5K house designs (a) created by professional designers with a variety of ground …
A large-scale dataset for transparent object segmentation, named Trans10K, consisting of 10,428 images of real scenarios with carefully manual annotations, …
UAVid is a high-resolution UAV semantic segmentation dataset as a complement, which brings new challenges, including large scale variation, moving …
UPLight is an underwater RGB-Polarization multimodal semantic segmentation dataset with 12 typical underwater semantic classes.
Semantic segmentation of drone images is critical for various aerial vision tasks as it provides essential seman- tic details to …
WildDash is a benchmark evaluation method is presented that uses the meta-information to calculate the robustness of a given algorithm …
Research on semantic segmentation of traffic scenes using color and polarization information (including training and testing sets).
iSAID contains 655,451 object instances for 15 categories across 2,806 high-resolution images. The images of iSAID is the same as …
AP-10K is the first large-scale benchmark for general animal pose estimation, to facilitate the research in animal pose estimation. AP-10K …
The Caltech-UCSD Birds-200-2011 (CUB-200-2011) dataset is the most widely-used dataset for fine-grained visual categorization task. It contains 11,788 images of …
The Caltech101 dataset contains images from 101 object categories (e.g., “helicopter”, “elephant” and “chair” etc.) and a background category that …
SPair-71k contains 70,958 image pairs with diverse variations in viewpoint and scale. Compared to previous datasets, it is significantly larger …
The Caltech101 dataset contains images from 101 object categories (e.g., “helicopter”, “elephant” and “chair” etc.) and a background category that …
Caltech-256 is an object recognition dataset containing 30,607 real-world images, of different sizes, spanning 257 classes (256 object classes and …
The STL-10 is an image dataset derived from ImageNet and popularly used to evaluate algorithms of unsupervised feature learning or …
The ADE20K semantic segmentation dataset contains more than 20K scene-centric images exhaustively annotated with pixel-level objects and object parts labels. …
Semi-Supervised Object Detection on COCO 10% labeled data
Cityscapes is a large-scale database which focuses on semantic understanding of urban street scenes. It provides semantic, instance-wise, and dense …
Semi-Supervised Object Detection on COCO 10% labeled data
DAVIS16 is a dataset for video object segmentation which consists of 50 videos in total (30 videos for training and …
DAVIS17 is a dataset for video object segmentation. It contains a total of 150 videos - 60 for training, 30 …
We randomly selected three videos from the Internet, that are longer than 1.5K frames and have their main objects continuously …
We randomly selected three videos from the Internet, that are longer than 1.5K frames and have their main objects continuously …
CoMplex video Object SEgmentation (MOSE) is a dataset to study the tracking and segmenting objects in complex environments. MOSE contains …
VOT2020 is a Visual Object Tracking benchmark for short-term tracking in RGB.
Youtube-VOS is a Video Object Segmentation dataset that contains 4,453 videos - 3,471 for training, 474 for validation, and 508 …
UBI-Fights - Concerning a specific anomaly detection and still providing a wide diversity in fighting scenarios, the UBI-Fights dataset is …
This repository contains the code, data, and models of the paper titled "BᴀɴɢʟᴀBᴏᴏᴋ: A Large-scale Bangla Dataset for Sentiment Analysis …
The DBRD (pronounced dee-bird) dataset contains over 110k book reviews along with associated binary sentiment polarity labels. It is greatly …
DynaSent is an English-language benchmark task for ternary (positive/negative/neutral) sentiment analysis. DynaSent combines naturally occurring sentences with sentences created using …
The Hotel Arabic-Reviews Dataset (HARD) contains 93700 hotel reviews in Arabic language. The hotel reviews were collected from Booking.com website …
The IMDb Movie Reviews dataset is a binary sentiment analysis dataset consisting of 50,000 reviews from the Internet Movie Database …
MR Movie Reviews is a dataset for use in sentiment-analysis experiments. Available are collections of movie-review documents labeled with respect …
Spoken Language Understanding Evaluation (SLUE) is a suite of benchmark tasks for spoken language understanding evaluation. It consists of limited-size …
SST-5 is the Stanford Sentiment Treebank 5-way classification dataset (positive, somewhat positive, neutral, somewhat negative, negative). To create SST-3 (positive, …
This is a dataset for 3-way sentiment classification of reviews (negative, neutral, positive). It is a merge of [Stanford Sentiment …
TweetEval introduces an evaluation framework consisting of seven heterogeneous Twitter-specific classification tasks. Source: [TweetEval: Unified Benchmark and Comparative Evaluation for …
Collects shadow images for multiple scenarios and compiled a new dataset of 10,500 shadow images, each with labeled ground-truth mask, …
SBU-Kinect-Interaction dataset version 2.0 comprises of RGB-D video sequences of humans performing interaction activities that are recording using the Microsoft …
A significant challenge in removing shadows from indoor scenes is obtaining shadow-free images. To overcome this challenge, we propose a …
The Image Shadow Triplets dataset (ISTD) is a dataset for shadow understanding that contains 1870 image triplets of shadow image, …
ISTD+ consists of shadow images, shadow-free images, and shadow masks, with 1,330 training images and 540 testing images from 135 …
SRD is a dataset for shadow removal that contains 3088 shadow and shadow-free image pairs.
A version of the WSRD Dataset will be used as a benchmark for the NTIRE24 Challenge on Image Shadow Removal.
Ego4D is a massive-scale egocentric video dataset and benchmark suite. It offers 3,025 hours of daily life activity video spanning …
The Ankara University Turkish Sign Language Dataset (AUTSL) is a large-scale, multimode dataset that contains isolated Turkish sign videos. It …
BOBSL is a large-scale dataset of British Sign Language (BSL). It comprises 1,962 episodes (approximately 1,400 hours) of BSL-interpreted BBC …
We introduce a video dataset Bukva for Russian Dactyl Recognition task. Bukva dataset size is about 27 GB, and it …
CSL-Daily (Chinese Sign Language Corpus) is a large-scale continuous SLT dataset. It provides both spoken language translations and gloss-level annotations. …
This is the home of a collaborative data collection effort by U. Chicago and TTI-Chicago researchers. This is to our …
This is the home of a collaborative data collection effort by U. Chicago and TTI-Chicago researchers. This is to our …
A large-scale isolated Indian sign language dataset. It contains 2002 common words, used in daily communications among Indian deaf community. …
A multimodal LIBRAS-UFOP Brazilian sign language dataset of minimal pairs using a microsoft Kinect senso. The dataset is based on …
The sign database for the Argentinian Sign Language, created with the goal of producing a dictionary for LSA and training …
Brazilian Sign Language (Libras) data set with 20 signs for sign language and gesture recognition benchmark: - Acontecer (To happen) …
MSASL is a real-life large-scale sign language data set comprising over 25,000 annotated videos. Source: [MS-ASL: A Large-Scale Data Set …
The signing is recorded by a stationary color camera placed in front of the sign language interpreters. Interpreters wear dark …
Over a period of three years (2009 - 2011) the daily news and weather forecast airings of the German public …
We introduce a large-scale video dataset Slovo for Russian Sign Language task. Slovo dataset size is about 16 GB, and …
WLASL is a large video dataset for Word-Level American Sign Language (ASL) recognition, which features 2,000 common different words in …
The first and the one open dataset for Russian finger- spelling, contained 1,593 annotated phrases and over 37 thousand HD+ …
An artificial corpus built using grammatical dependencies rules due to the lack of resources for Sign Language. Source: ASLG-PC12
CSL-Daily (Chinese Sign Language Corpus) is a large-scale continuous SLT dataset. It provides both spoken language translations and gloss-level annotations. …
The How2Sign is a multimodal and multiview continuous American Sign Language (ASL) dataset consisting of a parallel corpus of more …
LSA-T is the first continuous Argentinian Sign Language (LSA) dataset. It contains 14,880 sentence level videos of LSA extracted from …
Over a period of three years (2009 - 2011) the daily news and weather forecast airings of the German public …
PACS is an image dataset for domain generalization. It consists of four domains, namely Photo (1,670 images), Art Painting (2,048 …
The Caltech-UCSD Birds-200-2011 (CUB-200-2011) dataset is the most widely-used dataset for fine-grained visual categorization task. It contains 11,788 images of …
Common Objects in 3D is a large-scale dataset with real multi-view images of object categories annotated with camera poses and …
Scanned Objects by Google Research is a dataset of common household objects that have been 3D scanned for use in …
ShapeNet is a large scale repository for 3D CAD models developed by researchers from Stanford University, Princeton University and the …
ShapeNetCore is a subset of the full ShapeNet dataset with single clean 3D models and manually verified category and alignment …
Event cameras are sensors that are inspired by biological systems and specialize in capturing changes in brightness. These emerging cameras …
The dataset contains procedurally generated images of transparent vessels containing liquid and objects . The data for each image includes …
The Object Discovery dataset was collected by downloading images from Internet for airplane, car and horse. It is significantly larger …
The Chairs dataset contains rendered images of around 1000 different three-dimensional chair models. Source: Adversarial Disentanglement with Grouped Observations Image …
The Common Objects in COntext-stuff (COCO-stuff) dataset is a dataset for scene understanding tasks like semantic segmentation, object detection and …
Scribble is a new outline dataset consisting of 200 images (150 train, 50 test) for each of 10 classes – …
SketchyCOCO dataset consists of two parts: Object-level data Object-level data contains $20198(train18869+val1329)$ triplets of {foreground sketch, foreground image, foreground edge …
Dataset for multimodal skills assessment focusing on assessing piano player’s skill level. Annotations include player's skills level, and song difficulty …
The eSports Sensors dataset contains sensor data collected from 10 players in 22 matches in League of Legends. The sensor …
SODA-D is a large-scale dataset tailored for small object detection in driving scenario, which is built on top of MVD …
PACS is an image dataset for domain generalization. It consists of four domains, namely Photo (1,670 images), Art Painting (2,048 …
VisDA-2017 is a simulation-to-real dataset for domain adaptation with over 280,000 images across 12 categories in the training, validation and …
Understanding spatial relations (e.g., “laptop on table”) in visual input is important for both humans and robots. Existing datasets are …
The newly proposed HC-STVG task aims to localize the target person spatio-temporally in an untrimmed video. For this task, we …
We have added data and cleaned the labels in HC-STVG to build the HC-STVG2.0. While the original database contained 5660 …
The VidSTG dataset is a spatio-temporal video grounding dataset constructed based on the video relation dataset VidOR. VidOR contains 7,000, …
Ego4D is a massive-scale egocentric video dataset and benchmark suite. It offers 3,025 hours of daily life activity video spanning …
Spring is a large, high-resolution and high-detail, computer-generated benchmark for scene flow, optical flow, and stereo. Based on rendered scenes …
The Middlebury 2014 dataset contains a set of 23 high resolution stereo pairs for which known camera calibration parameters and …
The Visual Storytelling Dataset (VIST) consists of 210,819 unique photos and 50,000 stories. The images were collected from albums on …
Grammarly’s Yahoo Answers Formality Corpus (GYAFC) is the largest dataset for any style containing a total of 110K informal / …
To comprehensively evaluate the effectiveness and generalization ability of style transfer methods, we build StyleBench that covers 73 distinct styles, …
WikiArt contains painting from 195 different artists. The dataset has 42129 images for training and 10628 images for testing. Source: …
The CIFAR-10 database (Canadian Institute For Advanced Research database) is a large collection of natural color images. It has a …
iBims-1 (independent Benchmark images and matched scans - version 1) is a new high-quality RGB-D dataset, especially designed for testing …
The PASCAL Context dataset is an extension of the PASCAL VOC 2010 detection challenge, and it contains pixel-wise labels for …
We introduce Stanford-ORB, a new real-world 3D Object inverse Rendering Benchmark. Recent advances in inverse rendering have enabled a wide …
Taskonomy provides a large and high-quality dataset of varied indoor scenes. - Complete pixel-level geometric information via aligned meshes. - …
Cholec80 is an endoscopic video dataset containing 80 videos of cholecystectomy surgeries performed by 13 surgeons. The videos are captured …
Holistic and Multi-Granular Surgical Scene Understanding of Prostatectomies (GraSP) dataset, a curated benchmark that models surgical scene understanding as a …
Analyzing the surgical workflow is a prerequisite for many applications in computer assisted surgery (CAS), such as context-aware visualization of …
The MISAW data set is composed of 27 sequences of micro-surgical anastomosis on artificial blood vessels performed by 3 surgeons …
The YCB-Video dataset is a large-scale video dataset for 6D object pose estimation. provides accurate 6D poses of 21 objects …
PubTabNet is a large dataset for image-based table recognition, containing 568k+ images of tabular data annotated with the corresponding HTML …
WTW (Wired Table in the Wild) is a large-scale dataset which includes well-annotated structure parsing of multiple style tables in …
CREMA-D is an emotional multimodal actor data set of 7,442 original clips from 91 actors. These clips were from 48 …
The Lip Reading in the Wild (LRW) dataset a large-scale audio-visual database that contains 500 different words from over 1,000 …
CrossTask dataset contains instructional videos, collected for 83 different tasks. For each task an ordered list of steps with manual …
This paper introduces the pipeline to scale the largest dataset in egocentric vision EPIC-KITCHENS. The effort culminates in EPIC-KITCHENS-100, a …
FineAction contains 103K temporal instances of 106 action categories, annotated in 17K untrimmed videos. FineAction introduces new opportunities and challenges …
HACS is a dataset for human action recognition. It uses a taxonomy of 200 action classes, which is identical to …
MUSES is a large-scale dataset for temporal event (action) localization. It focuses on the temporal localization of multi-shot events, which …
The MultiTHUMOS dataset contains dense, multilabel, frame-level action annotations for 30 hours across 400 videos in the THUMOS'14 action detection …
The THUMOS14 (THUMOS 2014) dataset is a large-scale video dataset that includes 1,010 videos for validation and 1,574 videos for …
Charades-STA is a new dataset built on top of Charades by adding sentence temporal annotations. Source: [TALL: Temporal Activity Localization …
The UrduDoc Dataset is a benchmark dataset for Urdu text line detection in scanned documents. It is created as a …
ICDAR 2015 was a scene text detection used for the ICDAR 2015 conference.
The SCUT-CTW1500 dataset contains 1,500 images: 1,000 for training and 500 for testing. In particular, it provides 10,751 cropped text …
Total-Text is a text detection dataset that consists of 1,555 images with a variety of text types including horizontal, multi-oriented, …
The CUHK-PEDES dataset is a caption-annotated pedestrian dataset. It contains 40,206 images over 13,003 persons. Images are collected from five …
One large-scale database for Text-to-Image Person Re-identification, i.e., Text-based Person Retrieval. Compared with existing databases, ICFG-PEDES has three key advantages. …
RSTPReid contains 20505 images of 4,101 persons from 15 cameras. Each person has 5 corresponding images taken by different cameras …
T$^3$Bench is the first comprehensive text-to-3D benchmark containing diverse text prompts of three increasing complexity levels that are specially designed …
Kinetics-GEB+ (Generic Event Boundary Captioning, Grounding and Retrieval) is a dataset that consists of over 170k boundaries associated with captions …
MSR-VTT (Microsoft Research Video to Text) is a large-scale dataset for the open domain video captioning, which consists of 10,000 …
MSVD-Indonesian is derived from the MSVD dataset, which is obtained with the help of a machine translation service. This dataset …
The CUHK-PEDES dataset is a caption-annotated pedestrian dataset. It contains 40,206 images over 13,003 persons. Images are collected from five …
One large-scale database for Text-to-Image Person Re-identification, i.e., Text-based Person Retrieval. Compared with existing databases, ICFG-PEDES has three key advantages. …
RSTPReid contains 20505 images of 4,101 persons from 15 cameras. Each person has 5 corresponding images taken by different cameras …
The COCO (Common Objects in Context) dataset is a large-scale object detection, segmentation, and captioning dataset. It is designed to …
A large dataset of color names and their respective RGB values stores in CSV.
Automatic image captioning is the task of producing a natural-language utterance (usually a sentence) that correctly reflects the visual content …
DrawBench is a comprehensive and challenging benchmark for text-to-image models, introduced by the Imagen research team. Let me provide you …
Contains 8k flickr Images with captions. Visit this page to explore the data. Cite this paper if you find it …
Recent breakthroughs in diffusion models, multimodal pretraining, and efficient finetuning have led to an explosion of text-to-image generative models. Given …
LAION-COCO is the world’s largest dataset of 600M generated high-quality captions for publicly available web-images. The images are extracted from …
T2I-CompBench is a comprehensive benchmark for open-world compositional text-to-image generation, consisting of 6,000 compositional textual prompts from 3 categories (attribute …
This dataset contains around 10000 videos generated by various methods using the Prompt list. These videos have been evaluated using …
The Kinetics dataset is a large-scale, high-quality dataset for human action recognition in videos. The dataset consists of around 500,000 …
MSR-VTT (Microsoft Research Video to Text) is a large-scale dataset for the open domain video captioning, which consists of 10,000 …
The 20BN-SOMETHING-SOMETHING V2 dataset is a large collection of labeled video clips that show humans performing pre-defined basic actions with …
WebVid contains 10 million video clips with captions, sourced from the web. The videos are diverse and rich in their …
A new dataset of diverse traffic accidents. Source: Unsupervised Traffic Accident Detection in First-Person Videos
The CSUST Chinese Traffic Sign Detection Benchmark (CCTSDB) is an existing dataset for traffic sign detection. It consists of nearly …
Traffic signs are one of the most important information that guide cars to travel, and the detection of traffic signs …
ScanObjectNN is a newly published real-world dataset comprising of 2902 3D objects in 15 categories. It is a challenging point …
ApolloScape is a large dataset consisting of over 140,000 video frames (73 street scene videos) from various locations in China …
Our trajectory dataset consists of camera-based images, LiDAR scanned point clouds, and manually annotated trajectories. It is collected under various …
Argoverse is a tracking benchmark with over 30K scenarios collected in Pittsburgh and Miami. Each scenario is a sequence of …
ETH is a dataset for pedestrian detection. The testing set contains 1,804 images in three video clips. The dataset is …
The GTA Indoor Motion dataset (GTA-IM) that emphasizes human-scene interactions in the indoor environments. It consists of HD RGB-D image …
Honda Egocentric View-Intersection Dataset (HEV-I) is introduced to enable research on traffic participants interaction modelling, future object localization, as well …
JAAD is a dataset for studying joint attention in the context of autonomous driving. The focus is on pedestrian and …
PIE is a new dataset for studying pedestrian behavior in traffic. PIE contains over 6 hours of footage recorded in …
A dataset composed of 12 different 3D scenes and RGB sequences of 20 subjects moving in and interacting with the …
SDD dataset contains a variety of indoor and outdoor scenes, designed for Image Defocus Deblurring. There are 50 indoor scenes …
The UCY dataset consist of real pedestrian trajectories with rich multi-human interaction scenarios captured at 2.5 Hz (Δt=0.4s). It is …
The nuScenes dataset is a large-scale autonomous driving dataset. The dataset has 3D bounding boxes for 1000 scenes collected in …
The GoPro dataset for deblurring consists of 3,214 blurred images with the size of 1,280×720 that are divided into 2,103 …
The LOL dataset is composed of 500 low-light and normal-light image pairs and divided into 485 training pairs and 15 …
A new large-scale benchmark consisting of both synthetic and real-world hazy images, called REalistic Single Image DEhazing (RESIDE). RESIDE highlights …
DomainNet is a dataset of common objects in six different domain. All domains include 345 categories (classes) of objects such …
The Office dataset contains 31 object categories in three domains: Amazon, DSLR and Webcam. The 31 categories in the dataset …
Office-Home is a benchmark dataset for domain adaptation which contains 4 domains where each domain consists of 65 categories. The …
AnoShift is a large-scale anomaly detection benchmark, which focuses on splitting the test data based on its temporal distance to …
The Caltech101 dataset contains images from 101 object categories (e.g., “helicopter”, “elephant” and “chair” etc.) and a background category that …
This is a synthetic dataset for defect detection on textured surfaces. It was originally created for a competition at the …
Fashion-MNIST is a dataset comprising of 28×28 grayscale images of 70,000 fashion products from 10 categories, with 7,000 images per …
The dataset is constructed from images of defective production items that were provided and annotated by Kolektor Group d.o.o.. The …
KolektorSDD2 is a surface-defect detection dataset with over 3000 images containing several types of defects, obtained while addressing a real-world …
The PRONTO heterogeneous benchmark dataset is based on an industrial-scale multiphase flow facility. It includes data from heterogeneous sources, including …
The Reuters-21578 dataset is a collection of documents with news articles. The original corpus has 10,369 documents and a vocabulary …
Soil Moisture Active Passive (SMAP) dataset is a dataset of soil samples and telemetry information using the Mars rover by …
TIMo (Time-of-Flight Indoor Monitoring) is a dataset of infrared and depth videos intended for the use in Anomaly Detection and …
The code to create the dataset is available here. The dataset used in the paper is available on github - …
The CIFAR-10 database (Canadian Institute For Advanced Research database) is a large collection of natural color images. It has a …
A large set of images of cats and dogs. Homepage: https://www.microsoft.com/en-us/download/details.aspx?id=54765 Source code: tfds.image_classification.CatsVsDogs Versions: 4.0.0 (default): New split API …
Fashion-MNIST is a dataset comprising of 28×28 grayscale images of 70,000 fashion products from 10 categories, with 7,000 images per …
The MNIST database (Modified National Institute of Standards and Technology database) is a large collection of handwritten digits. It has …
The STL-10 is an image dataset derived from ImageNet and popularly used to evaluate algorithms of unsupervised feature learning or …
The CIFAR-10 database (Canadian Institute For Advanced Research database) is a large collection of natural color images. It has a …
A large set of images of cats and dogs. Homepage: https://www.microsoft.com/en-us/download/details.aspx?id=54765 Source code: tfds.image_classification.CatsVsDogs Versions: 4.0.0 (default): New split API …
Fashion-MNIST is a dataset comprising of 28×28 grayscale images of 70,000 fashion products from 10 categories, with 7,000 images per …
The MNIST database (Modified National Institute of Standards and Technology database) is a large collection of handwritten digits. It has …
The STL-10 is an image dataset derived from ImageNet and popularly used to evaluate algorithms of unsupervised feature learning or …
The CIFAR-10 database (Canadian Institute For Advanced Research database) is a large collection of natural color images. It has a …
A large set of images of cats and dogs. Homepage: https://www.microsoft.com/en-us/download/details.aspx?id=54765 Source code: tfds.image_classification.CatsVsDogs Versions: 4.0.0 (default): New split API …
Fashion-MNIST is a dataset comprising of 28×28 grayscale images of 70,000 fashion products from 10 categories, with 7,000 images per …
The MNIST database (Modified National Institute of Standards and Technology database) is a large collection of handwritten digits. It has …
The STL-10 is an image dataset derived from ImageNet and popularly used to evaluate algorithms of unsupervised feature learning or …
A large set of images of cats and dogs. Homepage: https://www.microsoft.com/en-us/download/details.aspx?id=54765 Source code: tfds.image_classification.CatsVsDogs Versions: 4.0.0 (default): New split API …
Fashion-MNIST is a dataset comprising of 28×28 grayscale images of 70,000 fashion products from 10 categories, with 7,000 images per …
The MNIST database (Modified National Institute of Standards and Technology database) is a large collection of handwritten digits. It has …
The STL-10 is an image dataset derived from ImageNet and popularly used to evaluate algorithms of unsupervised feature learning or …
The CIFAR-10 database (Canadian Institute For Advanced Research database) is a large collection of natural color images. It has a …
Fashion-MNIST is a dataset comprising of 28×28 grayscale images of 70,000 fashion products from 10 categories, with 7,000 images per …
The MNIST database (Modified National Institute of Standards and Technology database) is a large collection of handwritten digits. It has …
The STL-10 is an image dataset derived from ImageNet and popularly used to evaluate algorithms of unsupervised feature learning or …
UVO is a new benchmark for open-world class-agnostic object segmentation in videos. Besides shifting the problem focus to the open-world …
ClevrTex is a new benchmark designed as the next challenge to compare, evaluate and analyze algorithms for unsupervised multi-object segmentation. …
DAVIS16 is a dataset for video object segmentation which consists of 50 videos in total (30 videos for training and …
DUTS is a saliency detection dataset containing 10,553 training images and 5,019 test images. All training images are collected from …
The Extended Complex Scene Saliency Dataset (ECSSD) is comprised of complex scenes, presenting textures and structures common to real-world images. …
The Freiburg-Berkeley Motion Segmentation Dataset (FBMS-59) is a dataset for motion segmentation, which extends the BMS-26 dataset with 33 additional …
The ObjectsRoom dataset is based on the MuJoCo environment used by the Generative Query Network [4] and is a multi-object …
SegTrack v2 is a video segmentation dataset with full pixel-level annotations on multiple objects at each frame within each video. …
A simulation-based dataset featuring 20,000 stack configurations composed of a variety of elementary geometric primitives richly annotated regarding semantics and …
Cityscapes is a large-scale database which focuses on semantic understanding of urban street scenes. It provides semantic, instance-wise, and dense …
KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) is one of the most popular datasets for use in mobile …
MUSES offers 2500 multi-modal scenes, evenly distributed across various combinations of weather conditions (clear, fog, rain, and snow) and types …
The Waymo Open Dataset is comprised of high resolution sensor data collected by autonomous vehicles operated by the Waymo Driver …
We introduce ACDC, the Adverse Conditions Dataset with Correspondences for training and testing semantic segmentation methods on adverse visual conditions. …
Dark Zurich is an image dataset containing a total of 8779 images captured at nighttime, twilight, and daytime, along with …
Powered by the ImageNet dataset, unsupervised learning on large-scale data has made significant advances for classification tasks. There are two …
Nighttime Driving is a dataset of road scenes consisting of 35,000 images ranging from daytime to twilight time and to …
The Segmentation of Underwater IMagery (SUIM) dataset contains over 1500 images with pixel annotations for eight object categories: fish (vertebrates), …
Video Instruction Dataset is used to train Video-ChatGPT. It consists of 100,000 high-quality video instruction pairs. employs a combination of …
ApolloCar3DT is a dataset that contains 5,277 driving images and over 60K car instances, where each car is fitted with …
CityFlow is a city-scale traffic camera dataset consisting of more than 3 hours of synchronized HD videos from 40 cameras …
VeRi-776 is a vehicle re-identification dataset which contains 49,357 images of 776 vehicles from 20 cameras. The dataset is collected …
The “VehicleID” dataset contains CARS captured during the daytime by multiple real-world surveillance cameras distributed in a small city in …
The dataset contains 21 full-HD videos, each around 1 hr long, captured at six different locations. Vehicles in the videos …
PETRAW data set was composed of 150 sequences of peg transfer training sessions. The objective of the peg transfer session …
Avenue Dataset contains 16 training and 21 testing video clips. The videos are captured in CUHK campus avenue with 30652 …
The human-Related version of the CUHK Avenue dataset, first presented by Morais et al. in the paper "Learning Regularity in …
The human-Related version of the ShanghaiTech Campus, was first presented by Morais et al. in the paper "Learning Regularity in …
The Human Related version of UBnormal ("UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection," Acsintoae et al.) was introduced …
An abnormal activity data-set for research use that contains 4,83,566 annotated frames. Source: [Multi-timescale Trajectory Prediction for Abnormal Human Activity …
The Shanghaitech dataset is a large-scale crowd counting dataset. It consists of 1198 annotated crowd images. The dataset is divided …
The ShanghaiTech Campus dataset has 13 scenes with complex light conditions and camera angles. It contains 130 abnormal events and …
Street Scene is a dataset for video anomaly detection. Street Scene consists of 46 training and 35 testing high resolution …
UBnormal is a new supervised open-set benchmark composed of multiple virtual scenes for video anomaly detection. Unlike existing data sets, …
The UCF-Crime dataset is a large-scale dataset of 128 hours of videos. It consists of 1900 long and untrimmed real-world …
The UCSD Anomaly Detection Dataset was acquired with a stationary camera mounted at an elevation, overlooking pedestrian walkways. The crowd …
PETRAW data set was composed of 150 sequences of peg transfer training sessions. The objective of the peg transfer session …
The ActivityNet Captions dataset is built on ActivityNet v1.3 which includes 20k YouTube untrimmed videos with 100k caption annotations. The …
MSR-VTT (Microsoft Research Video to Text) is a large-scale dataset for the open domain video captioning, which consists of 10,000 …
The Microsoft Research Video Description Corpus (MSVD) dataset consists of about 120K sentences collected during the summer of 2010. Workers …
MSVD-Indonesian is derived from the MSVD dataset, which is obtained with the help of a machine translation service. This dataset …
A short clip of video may contain progression of multiple events and an interesting story line. A human needs to …
TV show Caption is a large-scale multimodal captioning dataset, containing 261,490 caption descriptions paired with 108,965 short video moments. TVC …
VATEX is multilingual, large, linguistically complex, and diverse dataset in terms of both video and natural language descriptions. It has …
YouCook2 is the largest task-oriented, instructional video dataset in the vision community. It contains 2000 long untrimmed videos from 89 …
VidChapters-7M is a dataset of 817K user-chaptered videos including 7M chapters in total. VidChapters-7M is automatically created from videos online …
The Breakfast Actions Dataset comprises of 10 actions related to breakfast preparation, performed by 52 different individuals in 18 different …
The COIN dataset (a large-scale dataset for COmprehensive INstructional video analysis) consists of 11,827 videos related to 180 different tasks …
The Charades dataset is composed of 9,848 videos of daily indoors activities with an average length of 30 seconds, involving …
Whereas the action recognition community has focused mostly on detecting simple actions like clapping, walking or jogging, the detection of …
Home Action Genome is a large-scale multi-view video database of indoor daily activities. Every activity is captured by synchronized multi-view …
The Kinetics dataset is a large-scale, high-quality dataset for human action recognition in videos. The dataset consists of around 500,000 …
A dataset of cartoon video clips. For each video clip, the presence or absence of each feature was marked by …
Dataset for multimodal skills assessment focusing on assessing piano player’s skill level. Annotations include player's skills level, and song difficulty …
The 20BN-SOMETHING-SOMETHING dataset is a large collection of labeled video clips that show humans performing pre-defined basic actions with everyday …
The 20BN-SOMETHING-SOMETHING V2 dataset is a large collection of labeled video clips that show humans performing pre-defined basic actions with …
The YouTube-8M dataset is a large scale video dataset, which includes more than 7 million videos with 4716 classes labeled …
A dataset for compressed video quality enhancement.
ATD-12K is a large-scale animation triplet dataset, which comprises 12,000 triplets(train10k,test2k) by manually inspect and the test2k with rich annotations, …
The Densely Annotation Video Segmentation dataset (DAVIS) is a high quality and high resolution densely annotated video segmentation dataset under …
The GoPro dataset for deblurring consists of 3,214 blurred images with the size of 1,280×720 that are divided into 2,103 …
LAVIB comprises a large collection of high-resolution videos sourced from the web. Metrics are computed for each video's motion magnitudes, …
This is a dataset for video frame interpolation task. The dataset contains the 1920×1080 videos in 240 FPS for videos …
The Middlebury Stereo dataset consists of high-resolution stereo sequences with complex geometry and pixel-accurate ground-truth disparity data. The ground-truth disparities …
UCF101 dataset is an extension of UCF50 and consists of 13,320 video clips, which are classified into 101 categories. These …
To test interpolation performance on various texture types, we developed a new test set, VFITex, which contains twenty 100-frame UHD …
The Vimeo-90K is a large-scale high-quality video dataset for lower-level video processing. It proposes three different video processing tasks: frame …
Dataset of high-resolution (4096×2160), high-fps (1000fps) video frames with extreme motion. X-TEST consists of 15 video clips with 33-length of …
Dataset of 64x64 images of a robot pushing objects on a table top. From Berkeley AI Research (BAIR). Source: Self-Supervised …
The How2Sign is a multimodal and multiview continuous American Sign Language (ASL) dataset consisting of a parallel corpus of more …
Kinetics-700 is a video dataset of 650,000 clips that covers 700 human action classes. The videos include human-object interactions such …
LAION-400M is a dataset with CLIP-filtered 400 million image-text pairs, their CLIP embeddings and kNN indices that allow efficient similarity …
MSR-VTT (Microsoft Research Video to Text) is a large-scale dataset for the open domain video captioning, which consists of 10,000 …
YouTube Driving Dataset contains a massive amount of real-world driving frames with various conditions, from different weather, different regions, to …
MAD (Movie Audio Descriptions) is an automatically curated large-scale dataset for the task of natural language grounding in videos or …
The Query-based Video Highlights (QVHighlights) dataset is a dataset for detecting customized moments and highlights from videos given natural language …
The Densely Annotation Video Segmentation dataset (DAVIS) is a high quality and high resolution densely annotated video segmentation dataset under …
The How2Sign is a multimodal and multiview continuous American Sign Language (ASL) dataset consisting of a parallel corpus of more …
Youtube-VOS is a Video Object Segmentation dataset that contains 4,453 videos - 3,471 for training, 474 for validation, and 508 …
While Video Instance Segmentation (VIS) has seen rapid progress, current approaches struggle to predict high-quality masks with accurate boundary details. …
3,859 high-resolution YouTube videos, 2,985 training videos, 421 validation videos and 453 test videos. An improved 40-category label set by …
Video object segmentation has been studied extensively in the past decade due to its importance in understanding video spatial-temporal structures …
DAVIS16 is a dataset for video object segmentation which consists of 50 videos in total (30 videos for training and …
DAVIS17 is a dataset for video object segmentation. It contains a total of 150 videos - 60 for training, 30 …
The Freiburg-Berkeley Motion Segmentation Dataset (FBMS-59) is an extension of the BMS dataset with 33 additional video sequences. A total …
The Freiburg-Berkeley Motion Segmentation Dataset (FBMS-59) is a dataset for motion segmentation, which extends the BMS-26 dataset with 33 additional …
CoMplex video Object SEgmentation (MOSE) is a dataset to study the tracking and segmenting objects in complex environments. MOSE contains …
SegTrack v2 is a video segmentation dataset with full pixel-level annotations on multiple objects at each frame within each video. …
Youtube-VOS is a Video Object Segmentation dataset that contains 4,453 videos - 3,471 for training, 474 for validation, and 508 …
Dataset of 64x64 images of a robot pushing objects on a table top. From Berkeley AI Research (BAIR). Source: Self-Supervised …
Cityscapes is a large-scale database which focuses on semantic understanding of urban street scenes. It provides semantic, instance-wise, and dense …
DAVIS17 is a dataset for video object segmentation. It contains a total of 150 videos - 60 for training, 30 …
The Human3.6M dataset is one of the largest motion capture datasets, which consists of 3.6 million human poses and corresponding …
KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) is one of the most popular datasets for use in mobile …
The efforts to create a non-trivial and publicly available dataset for action recognition was initiated at the KTH Royal Institute …
MPI (Max Planck Institute) Sintel is a dataset for optical flow evaluation that has 1064 synthesized stereo images and ground …
The Moving MNIST dataset contains 10,000 video sequences, each consisting of 20 frames. In each video sequence, two digits move …
The 20BN-SOMETHING-SOMETHING V2 dataset is a large collection of labeled video clips that show humans performing pre-defined basic actions with …
The Sprites dataset contains 60 pixel color images of animated characters (sprites). There are 672 sprites, 500 for training, 100 …
The Vimeo-90K is a large-scale high-quality video dataset for lower-level video processing. It proposes three different video processing tasks: frame …
The YouTube-8M dataset is a large scale video dataset, which includes more than 7 million videos with 4716 classes labeled …
Subjective video quality assessment (VQA) strongly depends on semantics, context, and the types of visual distortions. A lot of existing …
LIVE Livestream is a database for Video Quality Assessment (VQA), specifically designed for live streaming VQA research. The dataset is …
The video deployed parameter space is continuously increasing to provide more realistic and immersive experiences to global streaming and social …
No-reference (NR) perceptual video quality assessment (VQA) is a complex, unsolved, and important problem to social and streaming media applications. …
The great variations of videographic skills in videography, camera designs, compression and processing protocols, communication and bandwidth environments, and displays …
LIVE-YT-HFR comprises of 480 videos having 6 different frame rates, obtained from 16 diverse contents. Source: [Subjective and Objective Quality …
The dataset was created for video quality assessment problem. It was formed with 36 clips from Vimeo, which were selected …
The dataset was created for video quality assessment problem. It was formed with 36 clips from Vimeo, which were selected …
Our dataset was made of videos from MSU Video Upscalers Benchmark Dataset, MSU Video Super-Resolution Benchmark Dataset and MSU Super-Resolution …
This YouTube dataset is a sampling from thousands of User Generated Content (UGC) as uploaded to YouTube distributed under the …
The ActivityNet-QA dataset contains 58,000 human-annotated QA pairs on 5,800 videos derived from the popular ActivityNet dataset. The dataset provides …
The DramaQA focuses on two perspectives: 1) Hierarchical QAs as an evaluation metric based on the cognitive developmental stages of …
To collect How2QA for video QA task, the same set of selected video clips are presented to another group of …
We contribute an IntentQA dataset with diverse intents in daily social activities. We utilize NExT-QA as the source dataset to …
MSR-VTT (Microsoft Research Video to Text) is a large-scale dataset for the open domain video captioning, which consists of 10,000 …
The MSRVTT-MC (Multiple Choice) dataset is a video question-answering dataset created based on the MSR-VTT dataset. It consists of 2,990 …
The MSR-VTT-QA dataset is a benchmark for the task of Visual Question Answering (VQA) on the MSR-VTT (Microsoft Research Video …
The MSVD-QA dataset is a Video Question Answering (VideoQA) dataset. It is based on the existing Microsoft Research Video Description …
MVBench is a comprehensive Multi-modal Video understanding Benchmark. It was introduced to evaluate the comprehension capabilities of Multi-modal Large Language …
NExT-QA is a VideoQA benchmark targeting the explanation of video contents. It challenges QA models to reason about the causal …
OVBench is a benchmark tailored for real-time video understanding: - Memory, Perception, and Prediction of Temporal Contexts: Questions are framed …
Perception Test is a benchmark designed to evaluate the perception and reasoning skills of multimodal models. It introduces real-world videos …
Text and signs around roads provide crucial information for drivers, vital for safe navigation and situational awareness. Scene text recognition …
How to capture the present knowledge from surrounding situations and perform reasoning accordingly is crucial and challenging for machine intelligence. …
SUTD-TrafficQA (Singapore University of Technology and Design - Traffic Question Answering) is a dataset which takes the form of video …
The TGIF-QA dataset contains 165K QA pairs for the animated GIFs from the TGIF dataset [Li et al. CVPR 2016]. …
TVBench is a new benchmark specifically created to evaluate temporal understanding in video QA. We identified three main issues in …
The TVQA dataset is a large-scale video dataset for video question answering. It is based on 6 popular TV shows …
VLEP contains 28,726 future event prediction examples (along with their rationales) from 10,234 diverse TV Show and YouTube Lifestyle Vlog …
WildQA is a video understanding dataset of videos recorded in outside settings. The dataset can be used to evaluate models …
An open-ended VideoQA benchmark that aims to: i) provide a well-defined evaluation by including five correct answer annotations per question …
The Event-Camera Dataset is a collection of datasets with an event-based camera for high-speed robotics. The data also include intensity …
MGif is a dataset of videos containing movements of different cartoon animals. Each video is a moving gif file. The …
The Multi Vehicle Stereo Event Camera (MVSEC) dataset is a collection of data designed for the development of novel 3D …
In order to create the TED-talks dataset, 3,035 YouTube videos were downloaded using the "TED talks" query. From these initial …
Thai-Chi-HD is a high resolution dataset which can be used as reference benchmark for evaluating frameworks for image animation and …
SEPE 8K dataset is made of 40 different 8K (8192 x 4320) video sequences and 40 variant 8K (8192 x …
The ActivityNet dataset contains 200 different types of activities and a total of 849 hours of videos collected from YouTube. …
Charades-STA is a new dataset built on top of Charades by adding sentence temporal annotations. Source: [TALL: Temporal Activity Localization …
A large-scale video dataset, featuring clips from movies with detailed captions.
The Distinct Describable Moments (DiDeMo) dataset is one of the largest and most diverse datasets for the temporal localization of …
EgoExoLearn is a fascinating dataset designed to bridge the gap between egocentric and exocentric views of procedural activities. 1. **What …
The FIVR-200K dataset has been collected to simulate the problem of Fine-grained Incident Video Retrieval (FIVR). The dataset comprises 225,960 …
This dataset contains 118,081 short video clips extracted from 202 movies. Each video has a caption, either extracted from the …
MSR-VTT (Microsoft Research Video to Text) is a large-scale dataset for the open domain video captioning, which consists of 10,000 …
The Microsoft Research Video Description Corpus (MSVD) dataset consists of about 120K sentences collected during the summer of 2010. Workers …
MSVD-Indonesian is derived from the MSVD dataset, which is obtained with the help of a machine translation service. This dataset …
A large-scale dataset for retrieval and event localisation in video. A unique feature of the dataset is the availability of …
The Tumblr GIF (TGIF) dataset contains 100K animated GIFs and 120K sentences describing visual content of the animated GIFs. The …
A new multimodal retrieval dataset. TVR requires systems to understand both videos and their associated subtitle (dialogue) texts, making it …
VATEX is multilingual, large, linguistically complex, and diverse dataset in terms of both video and natural language descriptions. It has …
YouCook2 is the largest task-oriented, instructional video dataset in the vision community. It contains 2000 long untrimmed videos from 89 …
CamVid (Cambridge-driving Labeled Video Database) is a road/driving scene understanding database which was originally captured as five video sequences with …
LaRS is the largest and most diverse panoptic maritime obstacle detection dataset. Highlights: * Diverse scenes from manual capture, public …
Collects dense per-video-shot concept annotations. Source: Query-Focused Video Summarization: Dataset, Evaluation, and A Memory Network Based Approach
A short clip of video may contain progression of multiple events and an interesting story line. A human needs to …
The SumMe dataset is a video summarization dataset consisting of 25 videos, each annotated with at least 15 human summaries …
Introduced by Song et al. in TVSum: Summarizing web videos using titles. The TVSum dataset comprises 50 videos, with durations …
This is a dataset for a super-resolution task. The dataset contains 480x270 videos that were decoded with 6 different bitrates …
This is a dataset for a video super-resolution task. The dataset contains the most complex content for the restoration task: …
The dataset aims to find the algorithms that produce the most visually pleasant image possible and generalize well to a …
The Vimeo-90K is a large-scale high-quality video dataset for lower-level video processing. It proposes three different video processing tasks: frame …
We generate a synthesized dataset, namely VRDS, with 102 rainy videos from diverse scenarios, and each video frame has the …
Due to the lack of training data for video waterdrop removal, we propose a large-scale synthetic dataset with simulated waterdrops …
PETRAW data set was composed of 150 sequences of peg transfer training sessions. The objective of the peg transfer session …
Adverbs in Recipes (AIR) is a dataset specifically collected for adverb recognition. AIR is a subset of HowTo100M where recipe …
ActivityNet Adverbs is a subset from the ActivityNet dataset with extracted verb-adverb annotations. ActivityNet Adverbs contains 20 adverbs appearing across …
HowTo100M Adverbs is a subset from HowTo100M with mined adverbs from 83 tasks in HowTo100M. The annotations were obtained from …
MSR-VTT Adverbs is a subset from MSR-VTT with extracted verb-adverb annotations. MSR-VTT Adverbs contains 18 adverbs appearing across 106 actions, …
VATEX Adverbs is a subset from VATEX with extracted verb-adverb annotations. VATEX Adverbs contains 34 adverbs appearing across 135 actions, …
From Grounded Human-Object Interaction Hotspots from Video (ICCV'19): We collect annotations for interaction keypoints on EPIC Kitchens in order to …
The OPRA Dataset was introduced in Demo2Vec: Reasoning Object Affordances From Online Videos (CVPR'18) for reasoning object affordances from online …
Dress Code is a new dataset for image-based virtual try-on composed of image pairs coming from different catalogs of YOOX …
Consists of 37,723/14,360 person/clothes images, with the resolution of 256x192. Each person has different poses. We split them into the …
StreetTryOn, the new in-the-wild Virtual Try-On dataset, consists of 12,364 and 2,089 street person images for training and validation, respectively. …
VITON was a dataset for virtual try-on of clothing items. It consisted of 16,253 pairs of images of a person …
VITON-HD dataset is a dataset for high-resolution (i.e., 1024x768) virtual try-on of clothing items. Specifically, it consists of 13,679 frontal-view …
The ConvAI2 NeurIPS competition aimed at finding approaches to creating high-quality dialogue agents capable of meaningful open domain conversation. The …
The EmpatheticDialogues dataset is a large-scale multi-turn empathetic dialogue dataset collected on the Amazon Mechanical Turk, containing 24,850 one-to-one open-domain …
The IMAGE-CHAT dataset is a large collection of (image, style trait for speaker A, style trait for speaker B, dialogue …
Wizard of Wikipedia is a large dataset with conversations directly grounded with knowledge retrieved from Wikipedia. It is used to …
Aachen Day-Night v1.1 dataset is an extended version of the original Aachen Day-Night dataset. Besides the original query images, the …
AI2-Thor is an interactive environment for embodied AI. It contains four types of scenes, including kitchen, living room, bedroom and …
R2R is a dataset for visually-grounded natural language navigation in real buildings. The dataset requires autonomous agents to follow human-generated …
One of the key factors behind the recent success in visual tracking is the availability of dedicated benchmarks. While being …
DiDi is a distractor-distilled tracking dataset created to address the limitation of low distractor presence in current visual object tracking …
The GOT-10k dataset contains more than 10,000 video segments of real-world moving objects and over 1.5 million manually labelled bounding …
Informative Tracking Benchmark (ITB) is a small and informative tracking benchmark with 7% out of 1.2 M frames of existing …
LaSOT is a high-quality benchmark for Large-scale Single Object Tracking. LaSOT consists of 1,400 sequences with more than 3.5M frames …
OTB2013 is the previous version of the current OTB2015 Visual Tracker Benchmark. It contains only 50 tracking sequences, as opposed …
OTB-2015, also referred as Visual Tracker Benchmark, is a visual tracking dataset. It contains 100 commonly used video sequences for …
Tracking by Natural Language (TNL2K) is constructed for the evaluation of tracking by natural language specification. TNL2K features: - Large-scale: …
TrackingNet is a large-scale tracking dataset consisting of videos in the wild. It has a total of 30,643 videos split …
The dataset comprises 25 short sequences showing various objects in challenging backgrounds. Eight sequences are from the VOT2013 challenge (bolt, …
VOT2016 is a video dataset for visual object tracking. It contains 60 video clips and 21,646 corresponding ground truth maps …
VOT2017 is a Visual Object Tracking dataset for different tasks that contains 60 short sequences annotated with 6 different attributes. …
VOT2018 is a dataset for visual object tracking. It consists of 60 challenging videos collected from real-life datasets. Source: [Remove …
VOT2019 is a Visual Object Tracking benchmark for short-term tracking in RGB. Source: https://www.votchallenge.net/vot2019/dataset.html Image Source: https://www.votchallenge.net/vot2019/dataset.html
Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …
VideoCube is a high-quality and large-scale benchmark to create a challenging real-world experimental environment for Global Instance Tracking (GIT). MGIT …
Youtube-VOS is a Video Object Segmentation dataset that contains 4,453 videos - 3,471 for training, 474 for validation, and 508 …
EuRoC MAV is a visual-inertial datasets collected on-board a Micro Aerial Vehicle (MAV). The dataset contains stereo images, synchronized IMU …
AmsterTime dataset offers a collection of 2,500 well-curated images matching the same scene from a street view matched to historical …
CV-Cities comprises $223,736$ ground panoramic images and an equal number of satellite images all accompanied by high-precision GPS coordinates. These …
KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) is one of the most popular datasets for use in mobile …
The KITTI360Pose dataset encompasses a total area of 15.51 square kilometers across nine urban regions, consisting of 43,381 point cloud- …
The largest and most diverse dataset for lifelong place recognition from image sequences in urban and suburban settings.
Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …
The nordland used in SALAD and BoQ (2760 queries, 27592 reference images, threshold: 1 frames).
The Oxford RobotCar Dataset contains over 100 repetitions of a consistent route through Oxford, UK, captured over a period of …
Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …
Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …
Test set version 1 for the San Francisco eXtra Large dataset
Test set version 2 for the San Francisco eXtra Large dataset
Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …
The San Francisco Landmark Dataset contains a database of 1.7 million images of buildings in San Francisco with ground truth …
Large Multimodal Models (LMMs) such as GPT-4V and LLaVA have shown remarkable capabilities in visual reasoning with common image styles. …
CLEVR (Compositional Language and Elementary Visual Reasoning) is a synthetic Visual Question Answering dataset. It contains images of 3D-rendered objects; …
Earth vision research typically focuses on extracting geospatial object locations and categories but neglects the exploration of relations between objects …
The GQA dataset is a large-scale visual question answering dataset with real images from the Visual Genome dataset and balanced …
The General Robust Image Task (GRIT) Benchmark is an evaluation-only benchmark for evaluating the performance and robustness of vision systems …
MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities
MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities
MMBench is a multi-modality benchmark. It methodically develops a comprehensive evaluation pipeline, primarily comprised of two elements. The first element …
The MSR-VTT-QA dataset is a benchmark for the task of Visual Question Answering (VQA) on the MSR-VTT (Microsoft Research Video …
The MSVD-QA dataset is a Video Question Answering (VideoQA) dataset. It is based on the existing Microsoft Research Video Description …
MapEval-Visual contains 400 image-question-answer triplets. Each question is paired with a snapshot from google maps website. The task is the …
ViP-Bench is a comprehensive benchmark designed to assess the capability of multimodal models in understanding visual prompts across multiple dimensions. …
VisualMRC is a visual machine reading comprehension dataset that proposes a task: given a question and a document image, a …
The VizWiz-VQA dataset originates from a natural visual question answering setting where blind people each took an image and recorded …
A-OKVQA is crowdsourced visual question answering dataset composed of a diverse set of about 25K questions requiring a broad base …
AI2 Diagrams (AI2D) is a dataset of over 5000 grade school science diagrams with over 150000 rich annotations, their ground …
The ActivityNet dataset contains 200 different types of activities and a total of 849 hours of videos collected from YouTube. …
Large vision-language models (LVLMs) are prone to hallucinations, where certain contextual cues in an image can trigger the language module …
CLEVR (Compositional Language and Elementary Visual Reasoning) is a synthetic Visual Question Answering dataset. It contains images of 3D-rendered objects; …
We collect a new dataset of human-posed free-form natural language questions about CLEVR images. Many of these questions have out-of-vocabulary …
CORE-MM is an Open-ended VQA benchmark dataset specifically designed for MLLMs, with a focus on complex reasoning tasks. CORE-MM benchmark …
DocVQA consists of 50,000 questions defined on 12,000+ document images. Source: DocVQA: A Dataset for VQA on Document Images
EgoSchema is very long-form video question-answering dataset, and benchmark to evaluate long video understanding capabilities of modern vision and language …
The GQA dataset is a large-scale visual question answering dataset with real images from the Visual Genome dataset and balanced …
The General Robust Image Task (GRIT) Benchmark is an evaluation-only benchmark for evaluating the performance and robustness of vision systems …
Large language models (LLMs), after being aligned with vision models and integrated into vision-language models (VLMs), can bring impressive improvement …
Current visual question answering (VQA) tasks mainly consider answering human-annotated questions for natural images in the daily-life context. **Icon question …
IllusionVQA is a Visual Question Answering (VQA) dataset with two sub-tasks. The first task tests comprehension on 435 instances in …
The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the …
Multi-modal Large Language Models (MLLMs) are increasingly prominent in the field of artificial intelligence. Although many benchmarks attempt to holistically …
In this project, we introduce InfoSeek, a visual question answering dataset tailored for information-seeking questions that cannot be answered with …
InfographicVQA is a dataset that comprises a diverse collection of infographics along with natural language questions and answers annotations. The …
MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities
The MSR-VTT-QA dataset is a benchmark for the task of Visual Question Answering (VQA) on the MSR-VTT (Microsoft Research Video …
The MSVD-QA dataset is a Video Question Answering (VideoQA) dataset. It is based on the existing Microsoft Research Video Description …
MVBench is a comprehensive Multi-modal Video understanding Benchmark. It was introduced to evaluate the comprehension capabilities of Multi-modal Large Language …
Outside Knowledge Visual Question Answering (OK-VQA) includes more than 14,000 questions that require external knowledge to answer. Source: [OK-VQA: A …
Vision-language modeling has enabled open-vocabulary tasks where predictions can be queried using any text prompt in a zero-shot manner. Existing …
PMC-VQA is a large-scale medical visual question-answering dataset that contains 227k VQA pairs of 149k images that cover various modalities …
Synthetic datasets have successfully been used to probe visual question-answering datasets for their reasoning abilities. CLEVR, for example, tests a …
The RetVQA dataset is a large-scale dataset designed for Retrieval-Based Visual Question Answering (RetVQA). RetVQA is a more challenging task …
Task Directed Image Understanding Challenge (TDIUC) dataset is a Visual Question Answering dataset which consists of 1.6M questions and 170K …
The TGIF-QA dataset contains 165K QA pairs for the animated GIFs from the TGIF dataset [Li et al. CVPR 2016]. …
TextVQA is a dataset to benchmark visual reasoning based on text in images. TextVQA requires models to read and reason …
This dataset provides a new split of VQA v2 (similarly to VQA-CP v2), which is built of questions that are …
The VQA-CP dataset was constructed by reorganizing VQA v2 such that the correlation between the question type and correct answer …
Visual7W is a large-scale visual question answering (QA) dataset, with object-level groundings and multimodal answers. Each question starts with one …
WHOOPS! Is a dataset and benchmark for visual commonsense. The dataset is comprised of purposefully commonsense-defying images created by designers …
WebSRC is a novel Web-based Structural Reading Comprehension dataset. It consists of 0.44M question-answer pairs, which are collected from 6.5K …
The ZS-F-VQA dataset is a new split of the F-VQA dataset for zero-shot problem. Firstly we obtain the original train/test …
Bongard-OpenWorld is a new benchmark for evaluating real-world few-shot reasoning for machine vision. We hope it can help us better …
The IRFL dataset consists of idioms, similes, and metaphors with matching figurative and literal images, as well as two novel …
NLVR contains 92,244 pairs of human-written English sentences grounded in synthetic images. Because the images are synthetically generated, this dataset …
Visual Analogies of Situation Recognition (VASR) is a dataset for visual analogical mapping, adapting the classical word-analogy task into the …
The Visual Spatial Reasoning (VSR) corpus is a collection of caption-image pairs with true/false labels. Each caption describes the spatial …
This dataset is collected via the WinoGAViL game to collect challenging vision-and-language associations. Inspired by the popular card game Codenames, …
Winoground is a dataset for evaluating the ability of vision and language models to conduct visio-linguistic compositional reasoning. Given two …
The Visual Relationship Dataset (VRD) contains 4000 images for training and 1000 for testing annotated with visual relationships. Bounding boxes …
Visual Genome contains Visual Question Answering data in a multi-choice setting. It consists of 101,174 images from MSCOCO with 1.7 …
The PIPA database is collected from Flickr photo albums for the task of person recognition. Then the dataset is extended …
The People in Social Context (PISC) dataset is a dataset that focuses on social relationships. It consists of 22,670 images …
The Oxford-BBC Lip Reading Sentences 2 (LRS2) dataset is one of the largest publicly available datasets for lip reading sentences …
LRS3-TED is a multi-modal dataset for visual and audio-visual speech recognition. It includes face tracks from over 400 hours of …
The Densely Annotation Video Segmentation dataset (DAVIS) is a high quality and high resolution densely annotated video segmentation dataset under …
The Kinetics dataset is a large-scale, high-quality dataset for human action recognition in videos. The dataset consists of around 500,000 …
Kubric is a data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, …
LaSOT is a high-quality benchmark for Large-scale Single Object Tracking. LaSOT consists of 1,400 sequences with more than 3.5M frames …
OTB2013 is the previous version of the current OTB2015 Visual Tracker Benchmark. It contains only 50 tracking sequences, as opposed …
RGB-Stacking is a benchmark for vision-based robotic manipulation. The robot is trained to learn how to grasp objects and balance …
Tracking by Natural Language (TNL2K) is constructed for the evaluation of tracking by natural language specification. TNL2K features: - Large-scale: …
TrackingNet is a large-scale tracking dataset consisting of videos in the wild. It has a total of 30,643 videos split …
The BEOID dataset includes object interactions ranging from preparing a coffee to operating a weight lifting machine and opening a …
FineAction contains 103K temporal instances of 106 action categories, annotated in 17K untrimmed videos. FineAction introduces new opportunities and challenges …
The Georgia Tech Egocentric Activities (GTEA) dataset contains seven types of daily activities such as making sandwich, tea, or coffee. …
The THUMOS14 (THUMOS 2014) dataset is a large-scale video dataset that includes 1,010 videos for validation and 1,574 videos for …
Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …
Recent advances in language-image pre-training has witnessed the emerging field of building transferable systems that can effortlessly adapt to a …
The ActivityNet dataset contains 200 different types of activities and a total of 849 hours of videos collected from YouTube. …
The Charades dataset is composed of 9,848 videos of daily indoors activities with an average length of 30 seconds, involving …
The HMDB51 dataset is a large collection of realistic videos from various sources, including movies and web videos. The dataset …
The Kinetics dataset is a large-scale, high-quality dataset for human action recognition in videos. The dataset consists of around 500,000 …
UCF101 dataset is an extension of UCF50 and consists of 13,320 video clips, which are classified into 101 categories. These …
Country211 is a dataset released by OpenAI, designed to assess the geolocation capability of visual representations. It filters the YFCC100m …
Animals with Attributes 2 (AwA2) is a dataset for benchmarking transfer-learning algorithms, such as attribute base classification and zero-shot learning. …
The CIFAR-10 database (Canadian Institute For Advanced Research database) is a large collection of natural color images. It has a …
The CIFAR-100 dataset (Canadian Institute for Advanced Research, 100 classes) is a subset of the Tiny Images dataset and consists …
The COCO-MLT is created from MS COCO-2017, containing 1,909 images from 80 classes. The maximum of training number per class …
The Caltech-UCSD Birds-200-2011 (CUB-200-2011) dataset is the most widely-used dataset for fine-grained visual categorization task. It contains 11,788 images of …
The Caltech101 dataset contains images from 101 object categories (e.g., “helicopter”, “elephant” and “chair” etc.) and a background category that …
The Describable Textures Dataset (DTD) contains 5640 texture images in the wild. They are annotated with human-centric attributes inspired by …
Eurosat is a dataset and deep learning benchmark for land use and land cover classification. The dataset is based on …
FGVC-Aircraft contains 10,200 images of aircraft, with 100 images for each of 102 different aircraft model variants, most of which …
The Food-101 dataset consists of 101 food categories with 750 training and 250 test images per category, making a total …
The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the …
transform the ImageNet-1K classification datatset for Chinese models by translating labels and prompts into Chinese.
This dataset contains 118,081 short video clips extracted from 202 movies. Each video has a caption, either extracted from the …
The MIT-States dataset has 245 object classes, 115 attribute classes and ∼53K images. There is a wide range of objects …
The MSR-VTT-QA dataset is a benchmark for the task of Visual Question Answering (VQA) on the MSR-VTT (Microsoft Research Video …
The MSVD-QA dataset is a Video Question Answering (VideoQA) dataset. It is based on the existing Microsoft Research Video Description …
MedConceptsQA - Open Source Medical Concepts QA Benchmark The benchmark can be found here: https://huggingface.co/datasets/ofir408/MedConceptsQA
Oxford 102 Flower is an image classification dataset consisting of 102 flower categories. The flowers chosen to be flower commonly …
The Oxford-IIIT Pet Dataset is a 37-category pet dataset with roughly 200 images for each class. The images have large …
The PASCAL Context dataset is an extension of the PASCAL VOC 2010 detection challenge, and it contains pixel-wise labels for …
The SNIPS Natural Language Understanding benchmark is a dataset of over 16,000 crowdsourced queries distributed among 7 user intents of …
The SUN Attribute dataset consists of 14,340 images from 717 scene categories, and each category is annotated with a taxonomy …
The Scene UNderstanding (SUN) database contains 899 categories and 130,519 images. There are 397 well-sampled categories to evaluate numerous state-of-the-art …
The Stanford Cars dataset consists of 196 classes of cars with a total of 16,185 images, taken from the rear. …
The TVQA dataset is a large-scale video dataset for video question answering. It is based on 6 popular TV shows …
UCF101 dataset is an extension of UCF50 and consists of 13,320 video clips, which are classified into 101 categories. These …
We construct the long-tailed version of VOC from its 2012 train-val set. It contains 1,142 images from 20 classes, with …
An open-ended VideoQA benchmark that aims to: i) provide a well-defined evaluation by including five correct answer annotations per question …
The Common Objects in COntext-stuff (COCO-stuff) dataset is a dataset for scene understanding tasks like semantic segmentation, object detection and …
The PASCAL Visual Object Classes (VOC) 2012 dataset contains 20 object categories including vehicles, household, animals, and other: aeroplane, bicycle, …
The Food-101 dataset consists of 101 food categories with 750 training and 250 test images per category, making a total …
The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the …
The ImageNet-A dataset consists of real-world, unmodified, and naturally occurring examples that are misclassified by ResNet models. Source: [On Robustness …
ImageNet-R(endition) contains art, cartoons, deviantart, graffiti, embroidery, graphics, origami, paintings, patterns, plastic objects, plush objects, sculptures, sketches, tattoos, toys, and …
Powered by the ImageNet dataset, unsupervised learning on large-scale data has made significant advances for classification tasks. There are two …
ImageNet-Sketch data set consists of 50,889 images, approximately 50 images for each of the 1000 ImageNet classes. The data set …
ObjectNet is a test set of images collected directly using crowd-sourcing. ObjectNet is unique as the objects are captured at …
When glancing at a magazine, or browsing the Internet, we are continuously being exposed to photographs. Despite of this overflow …
The ActivityNet dataset contains 200 different types of activities and a total of 849 hours of videos collected from YouTube. …
The Distinct Describable Moments (DiDeMo) dataset is one of the largest and most diverse datasets for the temporal localization of …
This dataset contains 118,081 short video clips extracted from 202 movies. Each video has a caption, either extracted from the …
MSR-VTT (Microsoft Research Video to Text) is a large-scale dataset for the open domain video captioning, which consists of 10,000 …
The Microsoft Research Video Description Corpus (MSVD) dataset consists of about 120K sentences collected during the summer of 2010. Workers …
VATEX is multilingual, large, linguistically complex, and diverse dataset in terms of both video and natural language descriptions. It has …
YouCook2 is the largest task-oriented, instructional video dataset in the vision community. It contains 2000 long untrimmed videos from 89 …
Median house prices for California districts derived from the 1990 census. About Dataset Context This is the dataset used in …
In this dataset we added [Company Name, Car Model, Car Type, Fuel Type, Transmission, Engine (cc), Mileage, Kms_driven, Buyers, Horsepower …
Concrete is the most important material in civil engineering. The concrete compressive strength is a highly nonlinear function of age …
This dataset contains demographic and personal health information for individuals, along with the corresponding medical insurance charges billed to them. …
TextSeg is a large-scale fine-annotated and multi-purpose text detection and segmentation dataset, collecting scene and design text with six types …
TextZoom is a super-resolution dataset that consists of paired Low Resolution – High Resolution scene text images. The images are …
A short clip of video may contain progression of multiple events and an interesting story line. A human needs to …