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This large-scale vehicle re-identification dataset contains 600,000 images captured from surveillance cameras across outdoor roads, including highways, road bayonets, and urban streets, etc. The data diversity includes different cameras, multiple outdoor scenes, multiple time periods. For annotation, rectangular bounding boxes of vehicles were annotated. This dataset can be use for tasks such as vehicle re-ID, traffic monitoring, and intelligent surveillance.
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including different cameras, multiple outdoor scenes, multiple time periods
Device
surveillance cameras
Collecting angle
looking down angle, eye-level angle
Collecting time
day, night
Data format
the image data format is .jpg, the annotation file format is .json
Annotation content
rectangular bounding boxes of vehicles
Accuracy
a rectangular bounding box of vehicle is qualified when the deviation is not more than 3 pixels, and the qualified rate of the bounding boxes shall not be lower than 97%
Specifications
Sample
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