{"url":"/dataset/cuhk-sysu","name":"CUHK-SYSU","full_name":"CUHK-SYSU Person Search Dataset","description_markdown":"The CUKL-SYSY dataset is a large scale benchmark for person search, containing 18,184 images and 8,432 identities. Different from previous re-id benchmarks, matching query persons with manually cropped pedestrians, this dataset is much closer to real application scenarios by searching person from whole images in the gallery.\r\n\r\nSource: [http://www.ee.cuhk.edu.hk/~xgwang/PS/dataset.html](http://www.ee.cuhk.edu.hk/~xgwang/PS/dataset.html)\r\nImage Source: [http://www.ee.cuhk.edu.hk/~xgwang/PS/dataset.html](http://www.ee.cuhk.edu.hk/~xgwang/PS/dataset.html)","description_withheld":null,"homepage":"http://www.ee.cuhk.edu.hk/~xgwang/PS/dataset.html","introduced_date":"2017-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/joint-detection-and-identification-feature","title":"Joint Detection and Identification Feature Learning for Person Search","first_author":"Tong Xiao","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"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":"Person Search","url":"/task/person-search","datasets_with_task":"/datasets/task/person-search"}],"languages":[],"variants":["CUHK-SYSU"],"data_loaders":[],"num_papers_in_archive":100,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/person-search-on-cuhk-sysu","task":"Person Search","dataset_variant":"CUHK-SYSU","rows":16,"metrics":["MAP","Top-1"],"first_row_in_archive_order":{"model":"SeqNeXt+GFN","paper":"/paper/gallery-filter-network-for-person-search","metrics":{"MAP":"96.4","Top-1":"97.0"},"code_links":[{"title":"lukejaffe/gfn","url":"https://github.com/lukejaffe/gfn"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/person-re-identification-on-cuhk-sysu","task":"Person Re-Identification","dataset_variant":"CUHK-SYSU","rows":3,"metrics":["MAP","Rank-1"],"first_row_in_archive_order":{"model":"AlignedReID","paper":"/paper/alignedreid-surpassing-human-level","metrics":{"MAP":"94.4","Rank-1":"95.7"},"code_links":[{"title":"huanghoujing/AlignedReID-Re-Production-Pytorch","url":"https://github.com/huanghoujing/AlignedReID-Re-Production-Pytorch"},{"title":"mindspore-ai/models","url":"https://github.com/mindspore-ai/models/tree/master/research/cv/AlignedReID"},{"title":"h4veFunCodin9/Aligned_ReID","url":"https://github.com/h4veFunCodin9/Aligned_ReID"},{"title":"shubhamtyagii/Aligned_Reid","url":"https://github.com/shubhamtyagii/Aligned_Reid"},{"title":"2024-MindSpore-1/Code6","url":"https://github.com/2024-MindSpore-1/Code6/tree/main/AlignedReID"},{"title":"2023-MindSpore-1/ms-code-224","url":"https://github.com/2023-MindSpore-1/ms-code-224/tree/main/AlignedReID%2B%2B"},{"title":"code-implementation1/Code2","url":"https://github.com/code-implementation1/Code2/tree/main/AlignedReID"},{"title":"2023-MindSpore-1/ms-code-16","url":"https://github.com/2023-MindSpore-1/ms-code-16/tree/main/AlignedReID%2B%2B"},{"title":"Phoebe-star/AlignedReID","url":"https://github.com/Phoebe-star/AlignedReID"},{"title":"abhishirk/Aligned_ReId","url":"https://github.com/abhishirk/Aligned_ReId"},{"title":"2023-MindSpore-1/ms-code-16","url":"https://github.com/2023-MindSpore-1/ms-code-16/tree/main/AlignedReID"},{"title":"2024-MindSpore-1/Code5","url":"https://github.com/2024-MindSpore-1/Code5/tree/main/AlignedReID%2B%2B"},{"title":"2023-MindSpore-4/Code8","url":"https://github.com/2023-MindSpore-4/Code8/tree/main/AlignedReID"},{"title":"MindSpore-paper-code-3/code6","url":"https://github.com/MindSpore-paper-code-3/code6/tree/main/AlignedReID"},{"title":"MindSpore-paper-code-3/code6","url":"https://github.com/MindSpore-paper-code-3/code6/tree/main/Alexnet"}]},"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":2,"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},{"paper":"/paper/alignedreid-surpassing-human-level","title":"AlignedReID: Surpassing Human-Level Performance in Person Re-Identification","date":"2017-11-22","rows_on_this_dataset":1,"code_links":15,"syntology":null},{"paper":"/paper/neural-person-search-machines","title":"Neural Person Search Machines","date":"2017-07-21","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/deep-learning-prototype-domains-for-person-re","title":"Deep Learning Prototype Domains for Person Re-Identification","date":"2016-10-17","rows_on_this_dataset":1,"code_links":0,"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."}