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UFPR-ALPR

UFPR-ALPR includes 4,500 fully annotated images of vehicles & license plates

UFPR-ALPR

This dataset, called UFPR-ALPR dataset, includes 4,500 fully annotated images (over 30,000 LP characters) from 150 vehicles in real-world scenarios where both the vehicle and the camera (inside another vehicle) are moving.The images were acquired with three different cameras and are available in the Portable Network Graphics (PNG) format with a size of 1,920 × 1,080 pixels. The cameras used were: GoPro Hero4 Silver, Huawei P9 Lite, and iPhone 7 Plus.We collected 1,500 images with each camera, divided as follows: 900 of cars with gray LP; 300 of cars with red LP; 300 of motorcycles with gray LP.The dataset is split as follows: 40% for training, 40% for testing and 20% for validation. Every image has the following annotations available in a text file: the camera in which the image was taken, the vehicle’s position and information such as type (car or motorcycle), manufacturer, model and year; the identification and position of the LP, as well as the position of its characters.

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Task
Object Detection
Annotation Types
Bounding Boxes
4500
Items
150
Classes
4500
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Custom
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