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Camouflaged Object Segmentation datasets

archive 2025-07-28

7 datasets carry the task tag "Camouflaged Object Segmentation" (the task itself: Camouflaged Object Segmentation), ordered by the archive's paper count. Page 1 of 1: 7 shown of 7. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

All 12,172 Question Answering 413Semantic Segmentation 347Object Detection 332Image Classification 283Classification 222Text Classification 167Language Modelling 166Text Generation 162Visual Question Answering (VQA) 144Named Entity Recognition (NER) 130Pose Estimation 124Anomaly Detection 119Action Recognition 115Instance Segmentation 111Sentiment Analysis 104Text Summarization 98Domain Adaptation 96Speech Recognition 96Reading Comprehension 95Information Retrieval 932D Object Detection 92Image Retrieval 87Machine Translation 82Relation Extraction 822D Semantic Segmentation 81Natural Language Inference 81Image Captioning 79Image Generation 79Depth Estimation 77Node Classification 75Natural Language Understanding 72Autonomous Driving 70Code Generation 70Object Tracking 693D Object Detection 67Face Recognition 67Link Prediction 67Person Re-Identification 65Data Augmentation 63Multi-Task Learning 593D Reconstruction 58Common Sense Reasoning 56Recommendation Systems 56Video Understanding 56Optical Character Recognition (OCR) 55Graph Classification 54Abstractive Text Summarization 52Emotion Recognition 52Medical Image Segmentation 52Word Embeddings 52Camouflaged Object Segmentation 7

Camouflaged Object Segmentation datasets 1–7 of 7

COD10K (Camouflaged/Concealed Object Detection)
Sensory ecologists have found that this s background matching camouflage strategy works by deceiving the visual perceptual system of the observer.
ImagesCamouflaged Object SegmentationCamouflaged Object Segmentation with a Single Task-generic Prompt
166 papers · 2 benchmarks
CAMO (Camouflaged Object)
Camouflaged Object (CAMO) dataset specifically designed for the task of camouflaged object segmentation.
ImagesCamouflaged Object SegmentationCamouflaged Object Segmentation with a Single Task-generic Prompt
139 papers · 2 benchmarks
NC4K
As far as we know, there only exists one large camouflaged object testing dataset, the COD10K, while the sizes of other testing datasets are less than 300.
ImagesCamouflaged Object Segmentation
94 papers · 1 benchmark
MoCA-Mask (Moving Camouflaged Animals (MoCA)-Mask)
The original Moving Camouflaged Animals (MoCA) Dataset includes 37K frames from 141 YouTube Video sequences with resolution and sampling rate of 720 × 1280 and 24fps in the majority of cases.
VideosCamouflaged Object Segmentation
17 papers · 1 benchmark
CAMO++
CAMO++ is a dataset for camouflaged object segmentation.
ImagesCamouflaged Object Segmentation
8 papers · 0 benchmarks
Camouflaged Animal Dataset
The nine (moving camera) videos in this benchmark exhibit camouflaged animals that are difficult to see in a single frame, but can be detected based upon their motion across frames.
VideosCamouflaged Object Segmentation
4 papers · 1 benchmark
R2C7K
We consider the problem of referring camouflaged object detection (Ref-COD), a new task that aims to segment specified camouflaged objects based on a small set of referring images with salient target objects.
Camouflaged Object Segmentation
3 papers · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.