SA-Det-100k

Dataset Information
Modalities
Images
Languages
English
Introduced
2024
Homepage

Overview

SA-Det-100k is a large-scale class-agnostic object detection dataset for Research Purposes only. The dataset is based on a subset of SA-1B (see LICENSE), and all objects belong to the same category objects. Because it contains a large number of scenarios but does not provide class-specific annotations, we believe it may be a good choice to pre-training models for a variety of downstream tasks with different categories. The dataset contains about 100k images, and each image is resized using opencv-python so that the larger one of their height and width is 1333, which is consistent with the data augmentation commonly used to train COCO.
For example project based on this dataset, please see Relation-DETR (https://github.com/xiuqhou/Relation-DETR).

Variants: SA-Det-100k

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Object Detection Relation-DETR (ResNet50 1x) Relation DETR: Exploring Explicit Position … 2024-07-16
Object Detection DINO (ResNet50 1x VFL) DINO: DETR with Improved DeNoising … 2022-03-07

Research Papers

Recent papers with results on this dataset: