{"url":"/dataset/composition-1k","name":"Composition-1K","full_name":null,"description_markdown":"Composition-1K is a large-scale image matting dataset including 49300 training images and 1000 testing images.\r\n\r\nImage source: [https://arxiv.org/pdf/1703.03872v3.pdf](https://arxiv.org/pdf/1703.03872v3.pdf)","description_withheld":null,"homepage":"https://arxiv.org/pdf/1703.03872v3.pdf","introduced_date":"2017-03-10","introduced_date_note":null,"introduced_by":{"paper":"/paper/deep-image-matting","title":"Deep Image Matting","first_author":"Ning Xu","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Matting","url":"/task/image-matting","datasets_with_task":"/datasets/task/image-matting"}],"languages":[],"variants":["Composition-1K"],"data_loaders":[],"num_papers_in_archive":57,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-matting-on-composition-1k-1","task":"Image Matting","dataset_variant":"Composition-1K","rows":13,"metrics":["MSE","SAD","Conn","Grad"],"first_row_in_archive_order":{"model":"DiffMatte","paper":"/paper/diffusion-for-natural-image-matting","metrics":{"Conn":"11.42","Grad":"5.13","MSE":"2.26","SAD":"17.15"},"code_links":[{"title":"yihanhu-2022/diffmatte","url":"https://github.com/yihanhu-2022/diffmatte"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/diffusion-for-natural-image-matting","title":"Diffusion for Natural Image Matting","date":"2023-12-10","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":7,"samples_ran":6,"samples_unverified":1,"pointer_only_for_licence":7,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/vitmatte-boosting-image-matting-with","title":"ViTMatte: Boosting Image Matting with Pretrained Plain Vision Transformers","date":"2023-05-24","rows_on_this_dataset":1,"code_links":9,"syntology":null},{"paper":"/paper/rethinking-context-aggregation-in-natural","title":"Revisiting Context Aggregation for Image Matting","date":"2023-04-03","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/pp-matting-high-accuracy-natural-image","title":"PP-Matting: High-Accuracy Natural Image Matting","date":"2022-04-20","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/matteformer-transformer-based-image-matting","title":"MatteFormer: Transformer-Based Image Matting via Prior-Tokens","date":"2022-03-29","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":8,"samples_ran":5,"samples_unverified":3,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/improving-deep-image-matting-via-local","title":"Improving Deep Image Matting via Local Smoothness Assumption","date":"2021-12-27","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/trimap-guided-feature-mining-and-fusion","title":"Trimap-guided Feature Mining and Fusion Network for Natural Image Matting","date":"2021-12-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/long-range-feature-propagating-for-natural","title":"Long-Range Feature Propagating for Natural Image Matting","date":"2021-09-25","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/semantic-image-matting","title":"Semantic Image Matting","date":"2021-04-16","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":0,"samples_unverified":1,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/f-b-alpha-matting","title":"$F$, $B$, Alpha Matting","date":"2020-03-17","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":7,"samples_ran":1,"samples_unverified":6,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/190909725","title":"Context-Aware Image Matting for Simultaneous Foreground and Alpha Estimation","date":"2019-09-20","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/indices-matter-learning-to-index-for-deep","title":"Indices Matter: Learning to Index for Deep Image Matting","date":"2019-08-02","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/deep-image-matting","title":"Deep Image Matting","date":"2017-03-10","rows_on_this_dataset":1,"code_links":8,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":14,"samples_ran":2,"samples_unverified":12,"pointer_only_for_licence":2,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":5,"samples_harvested":37,"samples_ran":14,"samples_unverified":23,"pointer_only_for_licence":11,"papers_with_no_sample_that_ran":1,"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."}