{"url":"/dataset/pku-reid","name":"PKU-Reid","full_name":null,"description_markdown":"This dataset contains 114 individuals including 1824 images captured from two disjoint camera views. For each person, eight images are captured from eight different orientations under one camera view and are normalized to 128x48 pixels. This dataset is also split into two parts randomly. One contains 57 individuals for training, and the other contains 57 individuals for testing.\n\nSource: [https://github.com/charliememory/PKU-Reid-Dataset](https://github.com/charliememory/PKU-Reid-Dataset)\nImage Source: [https://arxiv.org/pdf/1605.02464.pdf](https://arxiv.org/pdf/1605.02464.pdf)","description_withheld":null,"homepage":"https://github.com/charliememory/PKU-Reid-Dataset","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/orientation-driven-bag-of-appearances-for","title":"Orientation Driven Bag of Appearances for Person Re-identification","first_author":"Liqian Ma","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Domain Adaptation","url":"/task/domain-adaptation","datasets_with_task":"/datasets/task/domain-adaptation"},{"name":"Image Retrieval","url":"/task/image-retrieval","datasets_with_task":"/datasets/task/image-retrieval"},{"name":"Person Re-Identification","url":"/task/person-re-identification","datasets_with_task":"/datasets/task/person-re-identification"},{"name":"Unsupervised Domain Adaptation","url":"/task/unsupervised-domain-adaptation","datasets_with_task":"/datasets/task/unsupervised-domain-adaptation"}],"languages":[],"variants":["PKU-Reid"],"data_loaders":[{"repo":"https://github.com/charliememory/PKU-Reid-Dataset","url":"https://github.com/charliememory/PKU-Reid-Dataset","frameworks":[]}],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-retrieval-on-pku-reid","task":"Image Retrieval","dataset_variant":"PKU-Reid","rows":1,"metrics":["R1"],"first_row_in_archive_order":{"model":"IHDA","paper":"/paper/instance-level-heterogeneous-domain-1","metrics":{"R1":"85.6"},"code_links":[{"title":"fandulu/IHDA","url":"https://github.com/fandulu/IHDA"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/instance-level-heterogeneous-domain-1","title":"Instance-level Heterogeneous Domain Adaptation for Limited-labeled Sketch-to-Photo Retrieval","date":"2022-11-26","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."}