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CCPD

A large and comprehensive license plate dataset

CCPD

We introduce CCPD, a large and comprehensive LP dataset. All images are taken manually by workers of a roadside parking management company and are annotated carefully. To our best knowledge, CCPD is the largest publicly available LP dataset to date with over 250k unique car images, and the only one provides vertices location annotations.Annotations are embedded in file name.A sample image name is "025-95_113-154&383_386&473-386&473_177&454_154&383_363&402-0_0_22_27_27_33_16-37-15.jpg". Each name can be splited into seven fields. Those fields are explained as follows. Area: Area ratio of license plate area to the entire picture area. Tilt degree: Horizontal tilt degree and vertical tilt degree. Bounding box coordinates: The coordinates of the left-up and the right-bottom vertices. Four vertices locations: The exact (x, y) coordinates of the four vertices of LP in the whole image. These coordinates start from the right-bottom vertex. License plate number: Each image in CCPD has only one LP. Each LP number is comprised of a Chinese character, a letter, and five letters or numbers. Brightness: The brightness of the license plate region. Blurriness: The Blurriness of the license plate region.

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Task
Object Detection
Annotation Types
Bounding Boxes
250000
Items
8
Classes
250000
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Unknown
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