{"url":"/dataset/moca-mask","name":"MoCA-Mask","full_name":"Moving Camouflaged Animals (MoCA)-Mask","description_markdown":"The original Moving Camouflaged Ani\u0002mals (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. The dataset covers 67 types of animals moving in natural scenes, but some are not camouflaged animals. Also, the ground truth of the original dataset is bounding boxes rather than dense segmentation masks, which makes it hard to evaluate the VCOD segmentation performance. To this end, we reor\u0002ganize the dataset as MoCA-Mask and build a comprehen\u0002sive benchmark with more comprehensive evaluation criteria.","description_withheld":null,"homepage":"https://xueliancheng.github.io/SLT-Net-project/","introduced_date":"2022-03-14","introduced_date_note":null,"introduced_by":{"paper":"/paper/implicit-motion-handling-for-video","title":"Implicit Motion Handling for Video Camouflaged Object Detection","first_author":"Xuelian Cheng","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Camouflaged Object Segmentation","url":"/task/camouflaged-object-segmentation","datasets_with_task":"/datasets/task/camouflaged-object-segmentation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["MoCA-Mask"],"data_loaders":[],"num_papers_in_archive":17,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/camouflaged-object-segmentation-on-moca-mask","task":"Camouflaged Object Segmentation","dataset_variant":"MoCA-Mask","rows":4,"metrics":["S-measure","weighted F-measure","MAE","mDice","mIoU"],"first_row_in_archive_order":{"model":"ZS-VCOS","paper":"/paper/zs-vcos-zero-shot-outperforms-supervised","metrics":{"MAE":"0.008","S-measure":"0.776","mDice":"0.648","mIoU":"0.550","weighted F-measure":"0.628"},"code_links":[{"title":"weathon/vcos","url":"https://github.com/weathon/vcos"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/camosam2-motion-appearance-induced-auto","title":"CamoSAM2: Motion-Appearance Induced Auto-Refining Prompts for Video Camouflaged Object Detection","date":"2025-04-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/zs-vcos-zero-shot-outperforms-supervised","title":"ZS-VCOS: Zero-Shot Outperforms Supervised Video Camouflaged Object Segmentation with Zero-Shot Method","date":"2025-03-30","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/zoomnext-a-unified-collaborative-pyramid","title":"ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection","date":"2023-10-31","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":11,"samples_ran":8,"samples_unverified":3,"pointer_only_for_licence":11,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/implicit-motion-handling-for-video","title":"Implicit Motion Handling for Video Camouflaged Object Detection","date":"2022-03-14","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":11,"samples_ran":8,"samples_unverified":3,"pointer_only_for_licence":11,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}