Datasets › Vehicle-Rear

Vehicle-Rear

Introduced by Icaro O. de Oliveira et al. in Vehicle-Rear: A New Dataset to Explore Feature Fusion for Vehicle Identification Using Convolutional Neural Networks13 Nov 2019 archive 2025-07-28

Vehicle-Rear is a novel dataset for vehicle identification that contains more than three hours of high-resolution videos, with accurate information about the make, model, color and year of nearly 3,000 vehicles, in addition to the position and identification of their license plates.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 3 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Research Only

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • Vehicle-Rear

1 variant name, as the archive lists them.

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