{"url":"/dataset/sysu-30k","name":"SYSU-30k","full_name":null,"description_markdown":"**SYSU-30k** contains 30k categories of persons, which is about 20 times larger than CUHK03 (1.3k categories) and Market1501 (1.5k categories), and 30 times larger than ImageNet (1k categories). SYSU-30k contains 29,606,918 images. Moreover, SYSU-30k provides not only a large platform for the weakly supervised ReID problem but also a more challenging test set that is consistent with the realistic setting for standard evaluation.\n\nSource: [https://github.com/wanggrun/SYSU-30k](https://github.com/wanggrun/SYSU-30k)\nImage Source: [https://github.com/wanggrun/SYSU-30k](https://github.com/wanggrun/SYSU-30k)","description_withheld":null,"homepage":"https://github.com/wanggrun/SYSU-30k","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/weakly-supervised-person-re-identification","title":"Weakly Supervised Person Re-ID: Differentiable Graphical Learning and A New Benchmark","first_author":"Guangrun Wang","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":"Self-Supervised Person Re-Identification","url":"/task/self-supervised-person-re-identification","datasets_with_task":"/datasets/task/self-supervised-person-re-identification"}],"languages":[],"variants":["SYSU-30k","2D Hela"],"data_loaders":[{"repo":"https://github.com/wanggrun/SYSU-30k","url":"https://github.com/wanggrun/SYSU-30k","frameworks":["pytorch"]}],"num_papers_in_archive":15,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/person-re-identification-on-sysu-30k","task":"Person Re-Identification","dataset_variant":"SYSU-30k","rows":10,"metrics":[" Rank-1","Rank-1"],"first_row_in_archive_order":{"model":"IICS (generalization)","paper":"/paper/intra-inter-camera-similarity-for","metrics":{" Rank-1":"36.0"},"code_links":[{"title":"SY-Xuan/IICS","url":"https://github.com/SY-Xuan/IICS"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/self-supervised-person-re-identification-on","task":"Self-Supervised Person Re-Identification","dataset_variant":"SYSU-30k","rows":4,"metrics":[" Rank-1"],"first_row_in_archive_order":{"model":"Triplet","paper":"/paper/solving-inefficiency-of-self-supervised","metrics":{" Rank-1":"14.8"},"code_links":[{"title":"wanggrun/triplet","url":"https://github.com/wanggrun/triplet"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/solving-inefficiency-of-self-supervised","title":"Solving Inefficiency of Self-supervised Representation Learning","date":"2021-04-18","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":0,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/intra-inter-camera-similarity-for","title":"Intra-Inter Camera Similarity for Unsupervised Person Re-Identification","date":"2021-03-22","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":8,"samples_ran":5,"samples_unverified":3,"pointer_only_for_licence":8,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/bootstrap-your-own-latent-a-new-approach-to","title":"Bootstrap your own latent: A new approach to self-supervised Learning","date":"2020-06-13","rows_on_this_dataset":2,"code_links":31,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":79,"samples_ran":62,"samples_unverified":17,"pointer_only_for_licence":46,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/improved-baselines-with-momentum-contrastive","title":"Improved Baselines with Momentum Contrastive Learning","date":"2020-03-09","rows_on_this_dataset":2,"code_links":36,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":43,"samples_ran":8,"samples_unverified":35,"pointer_only_for_licence":10,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/a-simple-framework-for-contrastive-learning","title":"A Simple Framework for Contrastive Learning of Visual Representations","date":"2020-02-13","rows_on_this_dataset":2,"code_links":96,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":137,"samples_ran":79,"samples_unverified":58,"pointer_only_for_licence":52,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/weakly-supervised-person-re-identification","title":"Weakly Supervised Person Re-ID: Differentiable Graphical Learning and A New Benchmark","date":"2019-04-08","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/learning-discriminative-features-with","title":"Learning Discriminative Features with Multiple Granularities for Person Re-Identification","date":"2018-04-04","rows_on_this_dataset":1,"code_links":16,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":30,"samples_ran":2,"samples_unverified":28,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/dari-distance-metric-and-representation","title":"DARI: Distance metric And Representation Integration for Person Verification","date":"2016-04-15","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/deep-feature-learning-with-relative-distance","title":"Deep Feature Learning with Relative Distance Comparison for Person Re-identification","date":"2015-12-11","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/deep-residual-learning-for-image-recognition","title":"Deep Residual Learning for Image Recognition","date":"2015-12-10","rows_on_this_dataset":1,"code_links":484,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":377,"samples_ran":230,"samples_unverified":147,"pointer_only_for_licence":187,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":7,"samples_harvested":676,"samples_ran":386,"samples_unverified":290,"pointer_only_for_licence":303,"papers_with_no_sample_that_ran":1,"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."}