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Vehicle-Rear
A novel dataset for vehicle re-identification
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.
Federal University of Technology - Parana, Curitiba, Brazil
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Task
Image Classification
Annotation Types
Classification Tags
Items
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Models using this dataset
Last updated on
January 20, 2022
Licensed under
Research Only
