{"url":"/dataset/dukemtmc-videoreid","name":"DukeMTMC-VideoReID","full_name":null,"description_markdown":"The DukeMTMC-VideoReID (Duke Multi-Tracking Multi-Camera Video-based ReIDentification) dataset is a subset of the DukeMTMC for video-based person re-ID. The dataset is created from high-resolution videos from 8 different cameras. It is one of the largest pedestrian video datasets wherein images are cropped by hand-drawn bounding boxes. The dataset consists 4832 tracklets of 1812 identities in total, and each tracklet has 168 frames on average.\r\n\r\n**NOTE**: This dataset [has been retracted](https://exposing.ai/duke_mtmc/).\r\n\r\nSource: [Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning](https://openaccess.thecvf.com/content_cvpr_2018/papers/Wu_Exploit_the_Unknown_CVPR_2018_paper.pdf)","description_withheld":null,"homepage":"","introduced_date":"2018-06-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/exploit-the-unknown-gradually-one-shot-video","title":"Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning","first_author":"Yu Wu","url":null},"license":{"name":"Unknown","url":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"},{"name":"Video-Based Person Re-Identification","url":"/task/video-based-person-re-identification","datasets_with_task":"/datasets/task/video-based-person-re-identification"}],"languages":[],"variants":["DukeMTMC-VideoReID"],"data_loaders":[],"num_papers_in_archive":49,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/person-re-identification-on-dukemtmc","task":"Person Re-Identification","dataset_variant":"DukeMTMC-VideoReID","rows":2,"metrics":["mAP"],"first_row_in_archive_order":{"model":"PSTA","paper":"/paper/pyramid-spatial-temporal-aggregation-for","metrics":{"mAP":"97.4"},"code_links":[{"title":"WangYQ9/VideoReID_PSTA","url":"https://github.com/WangYQ9/VideoReID_PSTA"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/unsupervised-person-re-identification-on-11","task":"Unsupervised Person Re-Identification","dataset_variant":"DukeMTMC-VideoReID","rows":2,"metrics":["mAP","Rank-1","Rank-5","Rank-20"],"first_row_in_archive_order":{"model":"AuxUSLReID","paper":"/paper/a-high-accuracy-unsupervised-person-re","metrics":{"Rank-1":"91.9","mAP":"89.9"},"code_links":[{"title":"tenghehan/AuxUSLReID","url":"https://github.com/tenghehan/AuxUSLReID"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/a-high-accuracy-unsupervised-person-re","title":"A High-Accuracy Unsupervised Person Re-identification Method Using Auxiliary Information Mined from Datasets","date":"2022-05-06","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/exploiting-robust-unsupervised-video-person","title":"Exploiting Robust Unsupervised Video Person Re-identification","date":"2021-11-09","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/spatio-temporal-representation-factorization","title":"Spatio-Temporal Representation Factorization for Video-based Person Re-Identification","date":"2021-07-25","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/pyramid-spatial-temporal-aggregation-for","title":"Pyramid Spatial-Temporal Aggregation for Video-Based Person Re-Identification","date":"2021-01-01","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"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."}