VeRi-776
Introduced by Xinchen Liu et al. in A Deep Learning-Based Approach to Progressive Vehicle Re-identification for Urban Surveillance
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-identificationBenchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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VeRi-776
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MBR4B-LAI
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VeRi-776
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PCL-CLIP
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Papers
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