{"url":"/dataset/prcc","name":"PRCC","full_name":null,"description_markdown":"This dataset consists of 33698 images from 221 identities. Each person in Cameras A and B is wearing the same clothes, but the images are captured in different rooms. For Camera C, the person wears different clothes, and the images are captured in a different day.\r\n\r\nSource: [Dataset Homepage](https://www.isee-ai.cn/~yangqize/clothing.html)","description_withheld":null,"homepage":"https://www.isee-ai.cn/~yangqize/clothing.html","introduced_date":"2020-02-06","introduced_date_note":null,"introduced_by":{"paper":"/paper/person-re-identification-by-contour-sketch","title":"Person Re-identification by Contour Sketch under Moderate Clothing Change","first_author":"Qize Yang","url":null},"license":null,"modalities":[],"tasks":[{"name":"Person Re-Identification","url":"/task/person-re-identification","datasets_with_task":"/datasets/task/person-re-identification"},{"name":"Unsupervised Person Re-Identification","url":"/task/unsupervised-person-re-identification","datasets_with_task":"/datasets/task/unsupervised-person-re-identification"}],"languages":[],"variants":["PRCC"],"data_loaders":[],"num_papers_in_archive":41,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/person-re-identification-on-prcc","task":"Person Re-Identification","dataset_variant":"PRCC","rows":13,"metrics":["mAP"," Rank-1"],"first_row_in_archive_order":{"model":"CAL+GEFF+DLCR","paper":"/paper/dlcr-a-generative-data-expansion-framework","metrics":{" Rank-1":"84.6","mAP":"66.0"},"code_links":[{"title":"croitorualin/dlcr","url":"https://github.com/croitorualin/dlcr"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/unsupervised-person-re-identification-on-prcc","task":"Unsupervised Person Re-Identification","dataset_variant":"PRCC","rows":1,"metrics":["Rank-1","mAP"],"first_row_in_archive_order":{"model":"SiCL","paper":"/paper/maskcl-semantic-mask-driven-contrastive","metrics":{"Rank-1":"43.2","mAP":"55.4"},"code_links":[{"title":"MingkunLishigure/MaskCL","url":"https://github.com/MingkunLishigure/MaskCL"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/colors-see-colors-ignore-clothes-changing","title":"Colors See Colors Ignore: Clothes Changing ReID with Color Disentanglement (ICCV-25 🥳)","date":"2025-06-10","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/coarse-attribute-prediction-with-task","title":"Coarse Attribute Prediction with Task Agnostic Distillation for Real World Clothes Changing ReID","date":"2025-05-19","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/dlcr-a-generative-data-expansion-framework","title":"DLCR: A Generative Data Expansion Framework via Diffusion for Clothes-Changing Person Re-ID","date":"2024-11-11","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/ccup-a-controllable-synthetic-data-generation","title":"CCUP: A Controllable Synthetic Data Generation Pipeline for Pretraining Cloth-Changing Person Re-Identification Models","date":"2024-10-17","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/content-and-salient-semantics-collaboration","title":"Content and Salient Semantics Collaboration for Cloth-Changing Person Re-Identification","date":"2024-05-26","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/exploring-fine-grained-representation-and","title":"Exploring Fine-Grained Representation and Recomposition for Cloth-Changing Person Re-Identification","date":"2023-08-21","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/maskcl-semantic-mask-driven-contrastive","title":"SiCL: Silhouette-Driven Contrastive Learning for Unsupervised Person Re-Identification with Clothes Change","date":"2023-05-23","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/reface-improving-clothes-changing-re","title":"GEFF: Improving Any Clothes-Changing Person ReID Model using Gallery Enrichment with Face Features","date":"2022-11-24","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/clothes-changing-person-re-identification","title":"Clothes-Changing Person Re-identification with RGB Modality Only","date":"2022-04-14","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/learning-3d-shape-feature-for-texture","title":"Learning 3D Shape Feature for Texture-Insensitive Person Re-Identification","date":"2021-06-19","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/fine-grained-shape-appearance-mutual-learning","title":"Fine-Grained Shape-Appearance Mutual Learning for Cloth-Changing Person Re-Identification","date":"2021-06-19","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/cloth-changing-person-re-identification-from","title":"Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization","date":"2021-03-29","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":1,"samples_ran":1,"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."}