{"url":"/dataset/cihp","name":"CIHP","full_name":"Crowd Instance-level Human Parsing","description_markdown":"The **Crowd Instance-level Human Parsing** (**CIHP**) dataset has 38,280 diverse human images. Each image in CIHP is labeled with pixel-wise annotations on 20 categories and instance-level identification. The dataset can be used for the human part segmentation task.\r\n\r\nSource: [Parsing R-CNN for Instance-Level Human Analysis](https://arxiv.org/abs/1811.12596)\r\nImage Source: [https://arxiv.org/abs/1808.00157](https://arxiv.org/abs/1808.00157)","description_withheld":null,"homepage":"http://sysu-hcp.net/lip/overview.php","introduced_date":"2018-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/instance-level-human-parsing-via-part","title":"Instance-level Human Parsing via Part Grouping Network","first_author":"Ke Gong","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Human Part Segmentation","url":"/task/human-part-segmentation","datasets_with_task":"/datasets/task/human-part-segmentation"}],"languages":[],"variants":["CIHP"],"data_loaders":[{"repo":"https://github.com/Graviti-AI/datasets","url":"https://gas.graviti.com/dataset/hellodataset/CIHP","frameworks":["tf","pytorch"]}],"num_papers_in_archive":33,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/human-part-segmentation-on-cihp","task":"Human Part Segmentation","dataset_variant":"CIHP","rows":6,"metrics":["Mean IoU"],"first_row_in_archive_order":{"model":"Hulk(Finetune, ViT-L)","paper":"/paper/hulk-a-universal-knowledge-translator-for","metrics":{"Mean IoU":"72.68"},"code_links":[{"title":"opengvlab/humanbench","url":"https://github.com/opengvlab/humanbench"},{"title":"opengvlab/hulk","url":"https://github.com/opengvlab/hulk"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/hulk-a-universal-knowledge-translator-for","title":"Hulk: A Universal Knowledge Translator for Human-Centric Tasks","date":"2023-12-04","rows_on_this_dataset":2,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":24,"samples_ran":12,"samples_unverified":12,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/unihcp-a-unified-model-for-human-centric","title":"UniHCP: A Unified Model for Human-Centric Perceptions","date":"2023-03-06","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":13,"samples_ran":7,"samples_unverified":6,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/self-correction-for-human-parsing","title":"Self-Correction for Human Parsing","date":"2019-10-22","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":2,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/parsing-r-cnn-for-instance-level-human","title":"Parsing R-CNN for Instance-Level Human Analysis","date":"2018-11-30","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":7,"samples_ran":2,"samples_unverified":5,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/instance-level-human-parsing-via-part","title":"Instance-level Human Parsing via Part Grouping Network","date":"2018-08-01","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":14,"samples_ran":0,"samples_unverified":14,"pointer_only_for_licence":0,"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":61,"samples_ran":23,"samples_unverified":38,"pointer_only_for_licence":0,"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."}