Datasets › CAMO

CAMO (Camouflaged Object)

Introduced by Trung-Nghia Le et al. in Anabranch Network for Camouflaged Object Segmentation20 May 2021 archive 2025-07-28

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.

Benchmarks archive 2025-07-28

All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Camouflaged Object Segmentation CAMO FOCUS S-Measure 0.912 FOCUS: Towards Universal Foreground Segmentation geshang777/FOCUS 14 Compare
Camouflaged Object Segmentation with a Single Task-generic Prompt CAMO RDVP-MSD E_{\phi} 0.848 — — 3 Compare

Papers archive 2025-07-28

14 shown of 14 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 139. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
FOCUS: Towards Universal Foreground Segmentation 1 1 9 Jan 2025 not harvested
Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation 1 1 27 Aug 2024 ran 2 of 9 samples (7 unverified)
Bilateral Reference for High-Resolution Dichotomous Image Segmentation 1 1 7 Jan 2024 ran 13 of 14 samples (1 unverified)
Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects 1 1 12 Dec 2023 ran 8 of 13 samples (5 unverified)
ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection 1 3 31 Oct 2023 ran 8 of 11 samples (3 unverified; 11 pointer-only for licence)
Improving existing segmentators performance with zero-shot segmentators 1 1 26 Jul 2023 not harvested
Explicit Visual Prompting for Universal Foreground Segmentations 2 1 29 May 2023 not harvested
Explicit Visual Prompting for Low-Level Structure Segmentations 1 1 20 Mar 2023 ran 4 of 4 samples (0 unverified)
Concealed Object Detection 1 1 20 Feb 2021 ran 3 of 3 samples (0 unverified)
MirrorNet: Bio-Inspired Camouflaged Object Segmentation 0 1 25 Jul 2020 not harvested
PraNet: Parallel Reverse Attention Network for Polyp Segmentation 4 1 13 Jun 2020 ran 0 of 9 samples (9 unverified)
Camouflaged Object Detection 2 1 1 Jun 2020 not harvested
EGNet: Edge Guidance Network for Salient Object Detection 7 1 1 Oct 2019 not harvested
BASNet: Boundary-Aware Salient Object Detection 3 1 1 Jun 2019 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • CAMO

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections