{"url":"/dataset/market1501-attributes","name":"Market1501-Attributes","full_name":"Market1501-Attributes","description_markdown":"The **Market1501-Attributes** dataset is built from the Market1501 dataset. Market1501 Attribute is an augmentation of this dataset with 28 hand annotated attributes, such as gender, age, sleeve length, flags for items carried as well as upper clothes colors and lower clothes colors.\n\nSource: [Color inference from semantic labeling for person search in videos](https://arxiv.org/abs/1911.13114)\nImage Source: [https://github.com/vana77/Market-1501_Attribute](https://github.com/vana77/Market-1501_Attribute)","description_withheld":null,"homepage":"https://github.com/vana77/Market-1501_Attribute","introduced_date":"2017-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/improving-person-re-identification-by","title":"Improving Person Re-identification by Attribute and Identity Learning","first_author":"Yutian Lin","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"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":["Market1501-Attributes"],"data_loaders":[{"repo":"https://github.com/vana77/Market-1501_Attribute","url":"https://github.com/vana77/Market-1501_Attribute","frameworks":[]}],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/pedestrian-attribute-recognition-on","task":"Pedestrian Attribute Recognition","dataset_variant":"Market1501-Attributes","rows":1,"metrics":["Accuracy ","F1 score"],"first_row_in_archive_order":{"model":"Attrivision","paper":"/paper/attrivision-advancing-generalization-in","metrics":{"Accuracy ":"83.8","F1 score":"88.8"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/attrivision-advancing-generalization-in","title":"AttriVision: Advancing Generalization in Pedestrian Attribute Recognition using CLIP","date":"2025-02-18","rows_on_this_dataset":1,"code_links":0,"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."}