{"url":"/dataset/dukemtmc-attribute","name":"DukeMTMC-attribute","full_name":"DukeMTMC-attribute","description_markdown":"The images in **DukeMTMC-attribute** dataset comes from Duke University. There are 1812 identities and 34183 annotated bounding boxes in the DukeMTMC-attribute dataset. This dataset contains 702 identities for training and 1110 identities for testing, corresponding to 16522 and 17661 images respectively. The attributes are annotated in the identity level, every image in this dataset is annotated with 23 attributes.\r\n\r\n**NOTE**: This dataset [has been retracted](https://exposing.ai/duke_mtmc/).\r\n\r\nSource: [Pedestrian Attribute Recognition: A Survey](https://arxiv.org/abs/1901.07474)\r\nImage Source: [http://irip.buaa.edu.cn/mars_duke_attributes/index.html](http://irip.buaa.edu.cn/mars_duke_attributes/index.html)","description_withheld":null,"homepage":"","introduced_date":"2017-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/unlabeled-samples-generated-by-gan-improve","title":"Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro","first_author":"Zhedong Zheng","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"Person Re-Identification","url":"/task/person-re-identification","datasets_with_task":"/datasets/task/person-re-identification"},{"name":"Pedestrian Attribute Recognition","url":"/task/pedestrian-attribute-recognition","datasets_with_task":"/datasets/task/pedestrian-attribute-recognition"},{"name":"Person Search","url":"/task/person-search","datasets_with_task":"/datasets/task/person-search"}],"languages":[],"variants":["DukeMTMC-attribute"],"data_loaders":[],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/pedestrian-attribute-recognition-on-dukemtmc","task":"Pedestrian Attribute Recognition","dataset_variant":"DukeMTMC-attribute","rows":1,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"MBNET","paper":"/paper/image-based-and-partially-categorical","metrics":{"Accuracy":"91.13"},"code_links":[{"title":"Hossein-Bodaghi/SI_attributes","url":"https://github.com/Hossein-Bodaghi/SI_attributes"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/image-based-and-partially-categorical","title":"Image-Based and Partially Categorical Annotating Approach for Pedestrian Attribute Recognition","date":"2023-02-28","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."}