{"url":"/dataset/p3m-10k","name":"P3M-10k","full_name":"Privacy-Preserving Portrait Matting Dataset","description_markdown":"P3M-10k contains 10421 high-resolution real-world\r\nface-blurred portrait images, along with their manually labeled alpha mattes. The Dataset is\r\naimed to aid research efforts in the area of portrait image matting and related topics.","description_withheld":null,"homepage":"https://github.com/JizhiziLi/P3M","introduced_date":"2021-04-29","introduced_date_note":null,"introduced_by":{"paper":"/paper/privacy-preserving-portrait-matting","title":"Privacy-Preserving Portrait Matting","first_author":"Jizhizi Li","url":null},"license":{"name":"MIT","url":"https://jizhizili.github.io/files/p3m_dataset_agreement/P3M-10k_Dataset_Release_Agreement.pdf"},"modalities":[],"tasks":[{"name":"Image Matting","url":"/task/image-matting","datasets_with_task":"/datasets/task/image-matting"},{"name":"Portrait Segmentation","url":"/task/portrait-segmentation","datasets_with_task":"/datasets/task/portrait-segmentation"}],"languages":[],"variants":["P3M-10k"],"data_loaders":[],"num_papers_in_archive":12,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-matting-on-p3m-10k","task":"Image Matting","dataset_variant":"P3M-10k","rows":7,"metrics":["SAD","MSE","MAD"],"first_row_in_archive_order":{"model":"P3M-Net (v)","paper":"/paper/rethinking-portrait-matting-with-privacy","metrics":{"MAD":"0.0036","MSE":"0.0015","SAD":"6.24"},"code_links":[{"title":"vitae-transformer/p3m-net","url":"https://github.com/vitae-transformer/p3m-net"}]},"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/rethinking-portrait-matting-with-privacy","title":"Rethinking Portrait Matting with Privacy Preserving","date":"2022-03-31","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/privacy-preserving-portrait-matting","title":"Privacy-Preserving Portrait Matting","date":"2021-04-29","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":15,"samples_ran":5,"samples_unverified":10,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"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":1,"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/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":2,"samples_harvested":18,"samples_ran":8,"samples_unverified":10,"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."}