{"url":"/dataset/camo-1","name":"CAMO++","full_name":null,"description_markdown":"CAMO++ is a dataset for camouflaged object segmentation. This dataset increases the number of images with hierarchical pixel-wise ground-truths. The authors also provide a benchmark suite for the task of camouflaged instance segmentation.","description_withheld":null,"homepage":"https://sites.google.com/view/ltnghia/research/camo_plus_plus","introduced_date":"2021-03-31","introduced_date_note":null,"introduced_by":{"paper":"/paper/camouflaged-instance-segmentation-dataset-and","title":"Camouflaged Instance Segmentation In-The-Wild: Dataset, Method, and Benchmark Suite","first_author":"Trung-Nghia Le","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Camouflaged Object Segmentation","url":"/task/camouflaged-object-segmentation","datasets_with_task":"/datasets/task/camouflaged-object-segmentation"}],"languages":[],"variants":["CAMO++"],"data_loaders":[],"num_papers_in_archive":8,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}