{"url":"/dataset/iust-personreid","name":"IUST_PersonReID","full_name":null,"description_markdown":"The IUST_PersonReID dataset was developed to address limitations in existing person re-identification datasets by including cultural and environmental contexts unique to Islamic countries, especially Iran and Iraq. Unlike common datasets, which don’t reflect the clothing styles common in these regions—such as hijabs and other coverings—the IUST_PersonReID dataset represents this diversity, helping to reduce demographic bias and improve model accuracy. Collected from various real-world settings under different lighting, camera angles, indoor & outdoor, and weather conditions, this dataset provides extensive, overlapping views across multiple cameras. By capturing these unique conditions, IUST_PersonReID offers a valuable resource for developing re-ID models that perform more reliably across diverse environments and populations.","description_withheld":null,"homepage":"https://computervisioniust.github.io/IUST_PersonReId/","introduced_date":"2024-12-25","introduced_date_note":null,"introduced_by":{"paper":"/paper/iust-personreid-a-new-domain-in-person-re","title":"IUST_PersonReId: A New Domain in Person Re-Identification Datasets","first_author":"Alireza Sedighi Moghaddam","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Person Re-Identification","url":"/task/person-re-identification","datasets_with_task":"/datasets/task/person-re-identification"},{"name":"Gender Classification","url":"/task/gender-classification","datasets_with_task":"/datasets/task/gender-classification"}],"languages":[],"variants":["IUST_PersonReID"],"data_loaders":[{"repo":"https://github.com/ComputerVisionIUST/IUST_PersonReId","url":"https://github.com/ComputerVisionIUST/IUST_PersonReId","frameworks":["pytorch"]}],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/person-re-identification-on-iust-personreid","task":"Person Re-Identification","dataset_variant":"IUST_PersonReID","rows":2,"metrics":["Rank-1","Rank-5","Rank-10","mAP"],"first_row_in_archive_order":{"model":"CLIP-ReID","paper":"/paper/iust-personreid-a-new-domain-in-person-re","metrics":{"Rank-1":"61.40","Rank-10":"77.50","Rank-5":"72.50","mAP":"51.60"},"code_links":[{"title":"ComputerVisionIUST/IUST_PersonReId","url":"https://github.com/ComputerVisionIUST/IUST_PersonReId"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/iust-personreid-a-new-domain-in-person-re","title":"IUST_PersonReId: A New Domain in Person Re-Identification Datasets","date":"2024-12-25","rows_on_this_dataset":2,"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."}