UniDataPro/united-kingdom-license-plate-dataset

License Plate Recognition Dataset

Dataset comprises 83,300+ images of vehicle license plates, meticulously annotated for OCR tasks, object detection, and real-time traffic analysis. Designed to advance research in autonomous vehicles, traffic management, and urban mobility.

By leveraging this dataset, researchers and developers can enhance license plate recognition (LPR) systems, improve traffic monitoring, and develop intelligent transportation solutions - Get the data

The collection includes metadata linking image file names with plate text and location information. The photos cover a variety of traffic situations, road types, and driving environments, providing a rich base for training and evaluating OCR models and AI systems.

Frequently Asked Questions

What types of annotations are available for the license plates?

The annotations provide OCR-oriented information together with vehicle and plate-related metadata. Fields described by UniData include the model, details, plain text, tag, country, and number.

Can this dataset be used for license plate OCR training?

Yes. The annotation structure is specifically designed to support OCR-related work, including text information associated with the plates.

Who can benefit from this license plate dataset?

The dataset is useful for computer vision researchers, OCR engineers, automotive technology teams, intelligent transportation developers, and organizations working on vehicle identification.

💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at https://unidata.pro to discuss your requirements and pricing options.

Ideal for training and evaluating recognition systems, the dataset features plates from France under varying lighting conditions, speeds, and urban settings.

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