{"url":"/dataset/veri-wild","name":"VeRi-Wild","full_name":"VeRi-Wild","description_markdown":"Veri-Wild is the largest vehicle re-identification dataset (as of CVPR 2019). The dataset is captured from a large CCTV surveillance system consisting of 174 cameras across one month (30× 24h) under unconstrained scenarios. This dataset comprises 416,314 vehicle images of 40,671 identities. Evaluation on this dataset is split across three subsets: small, medium and large; comprising 3000, 5000 and 10,000 identities respectively (in probe and gallery sets).\r\n\r\nSource: [Vehicle Re-Identification: an Efficient Baseline Using Triplet Embedding](https://arxiv.org/abs/1901.01015)\r\nImage Source: [https://github.com/PKU-IMRE/VERI-Wild](https://github.com/PKU-IMRE/VERI-Wild)","description_withheld":null,"homepage":"https://github.com/PKU-IMRE/VERI-Wild","introduced_date":"2019-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/veri-wild-a-large-dataset-and-a-new-method","title":"VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild","first_author":"Yihang Lou","url":null},"license":{"name":"Unknown","url":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":"Vehicle Re-Identification","url":"/task/vehicle-re-identification","datasets_with_task":"/datasets/task/vehicle-re-identification"},{"name":"Metric Learning","url":"/task/metric-learning","datasets_with_task":"/datasets/task/metric-learning"}],"languages":[],"variants":["VeRi-Wild","VeRi-Wild Small","VeRi-Wild Medium","VeRi-Wild Large"],"data_loaders":[{"repo":"https://github.com/PKU-IMRE/VERI-Wild","url":"https://github.com/PKU-IMRE/VERI-Wild","frameworks":[]}],"num_papers_in_archive":40,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/vehicle-re-identification-on-veri-wild-small","task":"Vehicle Re-Identification","dataset_variant":"VeRi-Wild Small","rows":3,"metrics":["Rank1","Rank5","mAP"],"first_row_in_archive_order":{"model":"MBR-4B (without RK)","paper":"/paper/strength-in-diversity-multi-branch","metrics":{"Rank1":"96.6","mAP":"88.9"},"code_links":[{"title":"videturfortuna/vehicle_reid_itsc2023","url":"https://github.com/videturfortuna/vehicle_reid_itsc2023"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/vehicle-re-identification-on-veri-wild-large","task":"Vehicle Re-Identification","dataset_variant":"VeRi-Wild Large","rows":2,"metrics":["mAP","Rank1","Rank5"],"first_row_in_archive_order":{"model":"ANet","paper":"/paper/attributenet-attribute-enhanced-vehicle-re","metrics":{"Rank1":"92.5","Rank5":"97.2","mAP":"75.9"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/vehicle-re-identification-on-veri-wild-medium","task":"Vehicle Re-Identification","dataset_variant":"VeRi-Wild Medium","rows":1,"metrics":["Rank1","Rank5","mAP"],"first_row_in_archive_order":{"model":"ANet","paper":"/paper/attributenet-attribute-enhanced-vehicle-re","metrics":{"Rank1":"95.2","Rank5":"98.3","mAP":"82.5"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/multi-camera-trajectory-matching-based-on","title":"Multi‑camera trajectory matching based on hierarchical clustering and constraints","date":"2023-10-19","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/strength-in-diversity-multi-branch","title":"Strength in Diversity: Multi-Branch Representation Learning for Vehicle Re-Identification","date":"2023-10-02","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/attributenet-attribute-enhanced-vehicle-re","title":"AttributeNet: Attribute Enhanced Vehicle Re-Identification","date":"2021-02-07","rows_on_this_dataset":3,"code_links":0,"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."}