{"url":"/dataset/prw","name":"PRW","full_name":"Person Re-identification in the Wild","description_markdown":"**PRW** is a large-scale dataset for end-to-end pedestrian detection and person recognition in raw video frames. PRW is introduced to evaluate Person Re-identification in the Wild, using videos acquired through six synchronized cameras. It contains 932 identities and 11,816 frames in which pedestrians are annotated with their bounding box positions and identities.","description_withheld":null,"homepage":"http://zheng-lab.cecs.anu.edu.au/Project/project_prw.html","introduced_date":"2016-04-09","introduced_date_note":null,"introduced_by":{"paper":"/paper/person-re-identification-in-the-wild","title":"Person Re-identification in the Wild","first_author":"Liang Zheng","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Person Re-Identification","url":"/task/person-re-identification","datasets_with_task":"/datasets/task/person-re-identification"},{"name":"Pedestrian Detection","url":"/task/pedestrian-detection","datasets_with_task":"/datasets/task/pedestrian-detection"},{"name":"Person Search","url":"/task/person-search","datasets_with_task":"/datasets/task/person-search"},{"name":"Person Recognition","url":"/task/person-recognition","datasets_with_task":"/datasets/task/person-recognition"}],"languages":[],"variants":[],"data_loaders":[],"num_papers_in_archive":77,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/person-search-on-prw","task":"Person Search","dataset_variant":"PRW","rows":15,"metrics":["mAP","Top-1"],"first_row_in_archive_order":{"model":"SPNet","paper":"/paper/swap-path-network-for-robust-person-search","metrics":{"Top-1":"90.9","mAP":"61.2"},"code_links":[{"title":"llnl/spnet","url":"https://github.com/llnl/spnet"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/swap-path-network-for-robust-person-search","title":"Swap Path Network for Robust Person Search Pre-training","date":"2024-12-06","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/real-time-distributed-video-analytics-for","title":"Real-time distributed video analytics for privacy-aware person search","date":"2023-06-12","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/beyond-appearance-a-semantic-controllable","title":"Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks","date":"2023-03-30","rows_on_this_dataset":1,"code_links":4,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":1,"samples_unverified":1,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/dmrnet-learning-discriminative-features-with","title":"DMRNet++: Learning Discriminative Features with Decoupled Networks and Enriched Pairs for One-Step Person Search","date":"2022-11-10","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/gallery-filter-network-for-person-search","title":"Gallery Filter Network for Person Search","date":"2022-10-24","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/global-local-context-network-for-person","title":"MovieNet-PS: A Large-Scale Person Search Dataset in the Wild","date":"2021-12-05","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/efficient-person-search-an-anchor-free","title":"Efficient Person Search: An Anchor-Free Approach","date":"2021-09-01","rows_on_this_dataset":1,"code_links":4,"syntology":null},{"paper":"/paper/anchor-free-person-search","title":"Anchor-Free Person Search","date":"2021-03-22","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":1,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/sequential-end-to-end-network-for-efficient","title":"Sequential End-to-end Network for Efficient Person Search","date":"2021-03-18","rows_on_this_dataset":4,"code_links":1,"syntology":null},{"paper":"/paper/decoupled-and-memory-reinforced-networks","title":"Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Search","date":"2021-02-22","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":5,"samples_ran":2,"samples_unverified":3,"pointer_only_for_licence":1,"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."}