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This dataset covering highways and crossroads, annotated for vehicle attributes and license plates. The data covers multiple vehicle types, colors, brands, orientations, and shooting times. Each vehicle has 2 rectangular bounding boxes and 5 labels (the rectangular bounding boxes include the front end or rear end of vehicle, and the whole vehicle; the labels included vehicle color, vehicle type, vehicle brand, vehicle orientation and shooting time). Each license plates are annotated with rectangular bounding boxs, numbers, and colors. This data can be used for tasks such as vehicle attribute analysis, license plate recognition, and AI/computer vision research in intelligent transportation.
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Specifications
Data size
89,747 images, including 26,504 images of speeding scenes and 63,243 images of retrograde scenes
Collecting environment
outdoor roads (highway, crossroad)
Data diversity
including multiple vehicle types, multiple vehicle colors, multiple license plate colors, multiple vehicle brands, different time，different vehicle orientations
Device
surveillance camera, looking down angle
Collecting time
day, night
Image parameter
the image format is .jpg, the annotated file format is .json
Annotation content
for a vehicle, 2 rectangular bounding boxes and 5 labels were annotated, the rectangular bounding boxes include the front end or rear end of vehicle, and the whole vehicle; the labels included vehicle color, vehicle type, vehicle brand,vehicle orientation and shooting time; for a vehicle plate, a rectangular bounding box of license plate, the number of license plate (the number of license plate was replaced with six ‘*’) and the color of license plate were annotated
Accuracy
a rectangular bounding box is qualified when the deviation is not more than 3 pixels, and the qualified rate of the rectangular bounding box shall not be lower than 96%; the accuracy of labels of license plate number annotation, license plate color, vehicle color, vehicle type, vehicle brand, shooting time and vehicle orientation is not less than 96%
Specifications
Sample
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