{"url":"/dataset/camo-fs","name":"CAMO-FS","full_name":"CAMO-FS","description_markdown":"CAMO-FS Dataset comes with the paper entitled The Art of Camouflage: Few-shot Learning for Animal Detection and Segmentation.\r\n\r\nDOI: https://doi.org/10.1109/ACCESS.2024.3432873\r\n\r\nOfficial GitHub: https://github.com/danhntd/FS-CDIS\r\n\r\nThe dataset includes camouflaged images and the annotations under COCO JSON format.","description_withheld":null,"homepage":"https://www.kaggle.com/datasets/danhnt/camo-fs-dataset","introduced_date":"2024-07-17","introduced_date_note":null,"introduced_by":{"paper":"/paper/few-shot-camouflaged-animal-detection-and","title":"The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation","first_author":"Thanh-Danh Nguyen","url":null},"license":{"name":"Apache-2.0 license","url":null},"modalities":[],"tasks":[{"name":"Few-Shot Object Detection","url":"/task/few-shot-object-detection","datasets_with_task":"/datasets/task/few-shot-object-detection"},{"name":"Few-shot Instance Segmentation","url":"/task/few-shot-instance-segmentation","datasets_with_task":"/datasets/task/few-shot-instance-segmentation"}],"languages":[],"variants":["CAMO-FS"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/few-shot-object-detection-on-camo-fs","task":"Few-Shot Object Detection","dataset_variant":"CAMO-FS","rows":26,"metrics":["box AP"],"first_row_in_archive_order":{"model":"FS-CDIS (MTFA+IMS 5-shot)","paper":"/paper/few-shot-camouflaged-animal-detection-and","metrics":{"box AP":"10.36"},"code_links":[{"title":"danhntd/FS-CDIS","url":"https://github.com/danhntd/FS-CDIS"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/few-shot-instance-segmentation-on-camo-fs","task":"Few-shot Instance Segmentation","dataset_variant":"CAMO-FS","rows":15,"metrics":["mask AP"],"first_row_in_archive_order":{"model":"FS-CDIS (M-RCNN+IMS 5-shot)","paper":"/paper/few-shot-camouflaged-animal-detection-and","metrics":{"mask AP":"9.82"},"code_links":[{"title":"danhntd/FS-CDIS","url":"https://github.com/danhntd/FS-CDIS"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/few-shot-camouflaged-animal-detection-and","title":"The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation","date":"2023-04-15","rows_on_this_dataset":41,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"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."}