{"url":"/dataset/ccvid","name":"CCVID","full_name":"Clothes-Changing Video person re-ID","description_markdown":"Clothes-Changing Video person re-ID (CCVID) is a dataset constructed from the raw data of a gait recognition dataset, i.e. FVG. The reconstructed CCVID dataset contains 347,833 bounding boxes. The length of each sequence changes from 27 to 410 frames, with an average length of 122. Besides, it also provides fine-grained clothes labels including tops, bottoms, shoes, carrying status, and accessories. For the convenience of evaluation, CCVID re-divides the training and test sets to adapt to clothes-changing re-id. Specifically, 75 identities are reserved for training, and the remaining 151 identities are used for test. In the test set, 834 sequences are used as query set, and the other 1074 sequences form gallery set.","description_withheld":null,"homepage":"https://github.com/guxinqian/Simple-CCReID","introduced_date":"2022-04-14","introduced_date_note":null,"introduced_by":{"paper":"/paper/clothes-changing-person-re-identification","title":"Clothes-Changing Person Re-identification with RGB Modality Only","first_author":"Xinqian Gu","url":null},"license":{"name":"Apache License 2.0","url":"https://github.com/guxinqian/Simple-CCReID/blob/main/LICENSE"},"modalities":[{"name":"RGB Video","url":"/datasets/modality/rgb-video"}],"tasks":[{"name":"Person Re-Identification","url":"/task/person-re-identification","datasets_with_task":"/datasets/task/person-re-identification"}],"languages":[],"variants":["CCVID"],"data_loaders":[],"num_papers_in_archive":15,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/person-re-identification-on-ccvid","task":"Person Re-Identification","dataset_variant":"CCVID","rows":4,"metrics":[" Rank-1","mAP","Rank-1"],"first_row_in_archive_order":{"model":"CSCI","paper":"/paper/colors-see-colors-ignore-clothes-changing","metrics":{" Rank-1":"91.0","mAP":"90.9"},"code_links":[]},"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/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":1,"code_links":1,"syntology":null},{"paper":"/paper/learning-clothing-and-pose-invariant-3d-shape","title":"Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification","date":"2023-08-21","rows_on_this_dataset":1,"code_links":0,"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."}}],"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."}