{"url":"/dataset/am-2k","name":"AM-2K","full_name":"Animal Matting 2,000 Dataset","description_markdown":"AM-2k (Animal Matting 2,000 Dataset) consists of 2,000\r\nhigh-resolution images collected and carefully selected\r\nfrom websites with open licenses. AM-2k contains 20\r\ncategories of animals including alpaca, antelope, bear,\r\ncamel, cat, cattle, deer, dog, elephant, giraffe, horse,\r\nkangaroo, leopard, lion, monkey, rabbit, rhinoceros, sheep,\r\ntiger, zebra, each with 100 real-world images of various appearance and diverse backgrounds","description_withheld":null,"homepage":"https://github.com/JizhiziLi/GFM","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":{"name":"MIT","url":"https://github.com/JizhiziLi/GFM/blob/master/LICENSE"},"modalities":[],"tasks":[{"name":"Image Matting","url":"/task/image-matting","datasets_with_task":"/datasets/task/image-matting"}],"languages":[],"variants":["AM-2K"],"data_loaders":[],"num_papers_in_archive":6,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-matting-on-am-2k","task":"Image Matting","dataset_variant":"AM-2K","rows":9,"metrics":["SAD","MSE","MAD"],"first_row_in_archive_order":{"model":"StyleMatte","paper":"/paper/adversarially-guided-portrait-matting","metrics":{"MAD":"0.0055","MSE":"0.0024","SAD":"9.602"},"code_links":[{"title":"chroneus/stylematte","url":"https://github.com/chroneus/stylematte"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/adversarially-guided-portrait-matting","title":"Adversarially-Guided Portrait Matting","date":"2023-05-04","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/end-to-end-animal-image-matting","title":"Bridging Composite and Real: Towards End-to-end Deep Image Matting","date":"2020-10-30","rows_on_this_dataset":4,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":3,"samples_unverified":0,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/attention-guided-hierarchical-structure","title":"Attention-Guided Hierarchical Structure Aggregation for Image Matting","date":"2020-06-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/boosting-semantic-human-matting-with-coarse","title":"Boosting Semantic Human Matting with Coarse Annotations","date":"2020-04-10","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/a-late-fusion-cnn-for-digital-matting","title":"A Late Fusion CNN for Digital Matting","date":"2019-06-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/semantic-human-matting","title":"Semantic Human Matting","date":"2018-09-05","rows_on_this_dataset":1,"code_links":2,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":3,"samples_ran":3,"samples_unverified":0,"pointer_only_for_licence":1,"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."}