{"url":"/dataset/vrai","name":"VRAI","full_name":"Vehicle Re-identification for Aerial Image","description_markdown":"VRAI is a large-scale vehicle ReID dataset for UAV-based intelligent applications. The dataset consists of 137, 613 images of 13, 022 vehicle instances. The images of each vehicle instance are captured by cameras of two DJI consumer UAVs at different locations, with a variety of view angles and flight-altitudes (15m to 80m).\r\n\r\nSource: [Vehicle Re-identification in Aerial Imagery: Dataset and Approach](https://arxiv.org/pdf/1904.01400)","description_withheld":null,"homepage":"https://arxiv.org/pdf/1904.01400.pdf","introduced_date":"2019-04-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/vehicle-re-identification-in-aerial-imagery","title":"Vehicle Re-identification in Aerial Imagery: Dataset and Approach","first_author":"Peng Wang","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Vehicle Re-Identification","url":"/task/vehicle-re-identification","datasets_with_task":"/datasets/task/vehicle-re-identification"}],"languages":[],"variants":["VRAI test","VRAI test-dev","VRAI"],"data_loaders":[{"repo":"https://github.com/michuanhaohao/reid-strong-baseline","url":"https://github.com/michuanhaohao/reid-strong-baseline","frameworks":["pytorch"]}],"num_papers_in_archive":8,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/vehicle-re-identification-on-vrai-test-dev","task":"Vehicle Re-Identification","dataset_variant":"VRAI test-dev","rows":6,"metrics":["MAP","CMC1","CMC5","CMC10"],"first_row_in_archive_order":{"model":"Baseline Model","paper":null,"metrics":{"CMC1":"0.8","CMC10":"0.95","CMC5":"0.89","MAP":"0.78"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/vehicle-re-identification-on-vrai-test","task":"Vehicle Re-Identification","dataset_variant":"VRAI test","rows":3,"metrics":["MAP","CMC1","CMC5","CMC10"],"first_row_in_archive_order":{"model":"Baseline Model","paper":null,"metrics":{"CMC1":"0.81","CMC10":"0.94","CMC5":"0.9","MAP":"0.79"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[],"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."}