Datasets › VeRi-776
VeRi-776
VeRi-776 is a vehicle re-identification dataset which contains 49,357 images of 776 vehicles from 20 cameras. The dataset is collected in the real traffic scenario, which is close to the setting of CityFlow. The dataset contains bounding boxes, types, colors and brands.
Source: VehicleNet: Learning Robust Visual Representation for Vehicle Re-identification Image Source: https://vehiclereid.github.io/VeRi/
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Vehicle Re-Identification | VeRi-776 | MBR4B-LAI (w/ RK) mAP 92.1 | Strength in Diversity: Multi-Branch Representation... | videturfortuna/vehicle_reid_itsc2023 | 17 | Compare |
Papers archive 2025-07-28
15 shown of 15 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 79. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- VeRi-776
- VehicleID to VeRi-776
2 variant names, as the archive lists them.
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