{"url":"/dataset/entire-id","name":"ENTIRe-ID","full_name":"ENTIRe-ID","description_markdown":"The growing importance of person re-identification in computer vision has highlighted the need for more extensive and diverse datasets. In response, we introduce the ENTIRe-ID dataset, an extensive collection comprising over 4.45 million images from 37 different cameras in varied environments. This dataset is uniquely designed to tackle the challenges of domain variability and model generalization, areas where existing datasets for person re-identification have fallen short. The ENTIRe-ID dataset stands out for its coverage of a wide array of real-world scenarios, encompassing various lighting conditions, angles of view, and diverse human activities. This design ensures a realistic and robust training platform for ReID models.","description_withheld":null,"homepage":"https://serdaryildiz.github.io/ENTIRe-ID/","introduced_date":"2024-05-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/entire-id-an-extensive-and-diverse-dataset","title":"ENTIRe-ID: An Extensive and Diverse Dataset for Person Re-Identification","first_author":"Serdar Yildiz","url":null},"license":null,"modalities":[],"tasks":[{"name":"Person Re-Identification","url":"/task/person-re-identification","datasets_with_task":"/datasets/task/person-re-identification"},{"name":"Generalizable Person Re-identification","url":"/task/generalizable-person-re-identification","datasets_with_task":"/datasets/task/generalizable-person-re-identification"},{"name":"Self-Supervised Person Re-Identification","url":"/task/self-supervised-person-re-identification","datasets_with_task":"/datasets/task/self-supervised-person-re-identification"},{"name":"Large-Scale Person Re-Identification","url":"/task/large-scale-person-re-identification","datasets_with_task":"/datasets/task/large-scale-person-re-identification"},{"name":"Semi-Supervised Person Re-Identification","url":"/task/semi-supervised-person-re-identification","datasets_with_task":"/datasets/task/semi-supervised-person-re-identification"},{"name":"Domain Adaptive Person Re-Identification","url":"/task/domain-adaptive-person-re-identification","datasets_with_task":"/datasets/task/domain-adaptive-person-re-identification"}],"languages":[],"variants":["ENTIRe-ID"],"data_loaders":[],"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-entire-id","task":"Person Re-Identification","dataset_variant":"ENTIRe-ID","rows":1,"metrics":["mAP"],"first_row_in_archive_order":{"model":"TransReID (Strong Baseline)","paper":"/paper/entire-id-an-extensive-and-diverse-dataset","metrics":{"mAP":"38.4"},"code_links":[{"title":"serdaryildiz/ENTIRe-ID","url":"https://github.com/serdaryildiz/ENTIRe-ID"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/entire-id-an-extensive-and-diverse-dataset","title":"ENTIRe-ID: An Extensive and Diverse Dataset for Person Re-Identification","date":"2024-05-30","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."}