CAMO

Camouflaged Object

Dataset Information
Modalities
Images
Languages
English
Introduced
2021
License
Unknown
Homepage
Official Website
Contents

Overview

Camouflaged Object (CAMO) dataset specifically designed for the task of camouflaged object segmentation. We focus on two categories, i.e., naturally camouflaged objects and artificially camouflaged objects, which usually correspond to animals and humans in the real world, respectively. Camouflaged object images consists of 1250 images (1000 images for the training set and 250 images for the testing set). Non-camouflaged object images are collected from the MS-COCO dataset (1000 images for the training set and 250 images for the testing set). CAMO has objectness mask ground-truth.

Variants: CAMO

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Camouflaged Object Segmentation FOCUS FOCUS: Towards Universal Foreground Segmentation 2025-01-09
Camouflaged Object Segmentation BiRefNet Bilateral Reference for High-Resolution Dichotomous … 2024-01-07
Camouflaged Object Segmentation ZoomNeXt-ResNet-50 ZoomNeXt: A Unified Collaborative Pyramid … 2023-10-31
Camouflaged Object Segmentation ZoomNeXt-PVTv2-B5 ZoomNeXt: A Unified Collaborative Pyramid … 2023-10-31
Camouflaged Object Segmentation ZoomNeXt-PVTv2-B4 ZoomNeXt: A Unified Collaborative Pyramid … 2023-10-31
Camouflaged Object Segmentation EVPv2 Explicit Visual Prompting for Universal … 2023-05-29
Camouflaged Object Segmentation EVPv1 Explicit Visual Prompting for Low-Level … 2023-03-20
Camouflaged Object Segmentation SINet-V2 Concealed Object Detection 2021-02-20
Camouflaged Object Segmentation MirrorNet-ResNeXt152 MirrorNet: Bio-Inspired Camouflaged Object Segmentation 2020-07-25
Camouflaged Object Segmentation PraNet PraNet: Parallel Reverse Attention Network … 2020-06-13

Research Papers

Recent papers with results on this dataset:

External Links: