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United Kingdom License Plate Detection Dataset

The dataset combines annotated license plates from real-world traffic across the UK, offering high-quality images for license plate recognition, license plate detection, and OCR tasks, enabling advancements in autonomous vehicles, traffic management, and smart city systems.

Get in touch Download sample
  • images
    118 798
  • Auto
  • Computer Vision
  • Machine Learning
  • Detection
  • Data annotation
  • Security

The dataset combines annotated license plates from real-world traffic across the UK, offering high-quality images for license plate recognition, license plate detection, and OCR tasks, enabling advancements in autonomous vehicles, traffic management, and smart city systems.

Get in touch Download sample
  • Auto
  • Computer Vision
  • Machine Learning
  • Detection
  • Data annotation
  • Security
  • images
    118 798

Dataset Info

Characteristic Data
Description License plate images with labeling for OCR tasks
Tasks Detection, Classification, OCR
Total number of files 118 798
Marking OCR
Labeling Model, details, plane text, tag, country, number
Download sample

Technical
Characteristics

Characteristic Data
Image extensions png
Extension of labeling file csv
Source and collection methodology: Data was collected by parsing videos from various sources

Dataset Use Cases

  • Transportation & Toll Systems

    Automating Billing and Vehicle Tracking

    United Kingdom License Plate Detection Dataset supports license plate recognition for toll operators and logistics companies. Since the datasets contain annotated license plates captured across different road conditions and traffic flows, it ensures accurate billing, reliable vehicle registrations, and efficient tracking of vehicles on national highways and regional road networks.

  • Smart City & Traffic Management

    Improving Urban Mobility and Traffic Control

    City planners use the license plate detection datasets to enhance traffic management and optimize traffic lights in busy urban areas. By training learning models on real-world data covering traffic density, traffic patterns, and road segments, municipalities can reduce traffic congestion and improve public transportation and overall road safety.

  • Law Enforcement & Security

    Identifying Vehicles and Enforcing Road Safety

    This dataset supports law enforcement in monitoring number plates, enforcing speed limits, and detecting stolen vehicles. With annotated license plates collected under different weather conditions and traffic scenarios, it strengthens recognition systems used in surveillance, border control, and traffic control across both highways and urban mobility zones.

  • Automotive & AI Research

    Training Models for Autonomous Driving Applications

    The license plate detection database is essential for building autonomous driving and intelligent traffic solutions. Since the datasets encompass diverse driving behaviors, traffic volumes, and road types, researchers and automotive developers use it to train learning models that improve plate recognition accuracy for autonomous vehicles in complex real-time traffic environments.

FAQs

How was United Kingdom License Plate Detection Dataset collected?
The data collection process involved parsing real-world traffic videos across different urban areas, road types, and traffic conditions. This ensures a dataset that reflects road networks, traffic signals, speed limits, and weather variations commonly encountered in public transportation and driving scenarios.
What types of annotations are provided?
Annotations consist of OCR labeling, vehicle details, and metadata. These annotated license plates provide the foundation for benchmark datasets in car plate detection, traffic analytics, and road safety technologies.
Does the dataset cover different traffic scenarios?
Yes, the dataset encompasses a diverse range of traffic conditions, from urban congestion to smoother road segments. This variation makes it effective for training deep learning algorithms, computer vision systems, and transportation analytics models.
Can I request a sample of the dataset before downloading it?
Yes, Unidata provides samples from the license plate recognition database. This allows you to evaluate image quality, annotation accuracy, and OCR labeling before committing to the full dataset for traffic flows, driving behaviors, or road safety research.
How are Unidata datasets licensed?
Unidata datasets follow a dual-licensing model. Free samples of our datasets are available for testing and evaluation, while full access to the dataset requires purchase.
Do Unidata datasets follow GDPR or other data privacy regulations?
Yes. All Unidata datasets, including this one, are created in compliance with GDPR and applicable data protection laws. The data is collected from legally permissible sources, ensuring ethical use in traffic management and license plate recognition systems.
How are Unidata datasets stored?
Unidata datasets are securely stored on AWS cloud infrastructure to guarantee scalability and high availability. The storage and management process complies with ISO 27001 and ISO 27701 standards, ensuring that annotated license plates and OCR labels are protected in a secure and privacy-focused environment.
Is this a real-world dataset or synthetic data?
This is a real-world dataset created by parsing videos of UK roads and transportation systems. Unlike synthetic datasets, it reflects authentic traffic patterns, driving behaviors, and road conditions, making it highly valuable for autonomous driving, urban mobility research, and smart city projects.
Still have questions about using Unidata datasets? Read our user-guides

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