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Vehicle-Rear

A novel dataset for vehicle re-identification

Vehicle-Rear

Vehicle-Rear is a novel dataset for vehicle re-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.

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Federal University of Technology - Parana, Curitiba, Brazil
http://www.utfpr.edu.br
Task
Image Classification
Annotation Types
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Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Research Only
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