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Car License Plate Detection Dataset

The license plate dataset contains vehicle images with annotated license plates, enabling accurate recognition of number plates across various traffic conditions and road environments

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  • images
    1,942,464
  • Countries
    86
  • Computer Vision
  • Data annotation
  • Detection
  • Auto
  • Machine Learning
  • Security
  • Computer Vision
  • Data annotation
  • Detection
  • Auto
  • Machine Learning
  • Security

The license plate dataset contains vehicle images with annotated license plates, enabling accurate recognition of number plates across various traffic conditions and road environments

Get in touch Download sample
  • Computer Vision
  • Data annotation
  • Detection
  • Auto
  • Machine Learning
  • Security
  • images
    1,942,464
  • Countries
    86

Dataset Info

Characteristic Data
Description Car license plate images with labeling for OCR tasks
Data types Image
Tasks Detection, Classification, OCR
Total number of files 1,942,464
Marking OCR
Labeling Model, details, plate text, tag, country
Countries Albania, Andorra, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahrain, Belarus, Belgium, Bosnia and Herzegovina, Brazil, Bulgaria, Cambodia, Canada, China, Croatia, Cyprus, Czech Republic, Denmark, Egypt, Estonia, Finland, France, Georgia, Germany, Gibraltar, Greece, Guernsey, Hong Kong, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Japan, Jersey, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Luxembourg, Malaysia, Malta, Mexico, Moldova, Monaco, Mongolia, Montenegro, Morocco, Netherlands, New Zealand, North Macedonia, Norway, Pakistan, Palestinian Authority, Poland, Portugal, Qatar, Romania, Russia, San Marino, Saudi Arabia, Serbia, Singapore, Slovakia, Slovenia, South Korea, Spain, Sweden, Switzerland, Tajikistan, Thailand, Turkey, UAE, USA, Ukraine, United Kingdom, Uzbekistan, Vietnam
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Statistics

Statistics

i Continent Quantity
1 Europe 1 487 855 77,0%
2 Asia 318 331 16,5%
3 North America 102 143 5,3%
4 South America 9 932 0,5%
5 Oceania 7 645 0,4%
6 Africa 5 562 0,3%
i Country Count
1 Spain 83 924
2 Germany 83 799
3 Poland 83 793
4 France 83 752
5 Russia 83 770
6 Hungary 83 708
7 Ukraine 83 697
8 United Kingdom 83 382
9 Italy 74 600
10 Netherlands 73 412

Statistics

Continent Distribution

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 & Logistics

    Fleet Tracking and Toll Automation

    This car license plate dataset supports the development of AI-powered systems for automated fleet monitoring, toll collection, and delivery verification. By training models on annotated license plates in varied lighting, weather conditions, and traffic scenarios, logistics companies can ensure accurate license plate recognition across diverse road networks and urban areas.



  • Smart City Infrastructure

    Traffic Management and Parking Automation

    Urban planners and technology providers use this license plate detection database to improve traffic flows, monitor traffic density, and automate parking access. The dataset enables integration with intelligent traffic systems, traffic signals, and parking control platforms, supporting better urban mobility and road safety in real-world conditions.



  • Law Enforcement & Security

    Vehicle Identification and Access Control

    Police, customs, and private security agencies use this car plate detection dataset for number plate recognition, stolen vehicle recovery, and border security. Its precise bounding box and polygon annotations allow accurate vehicle identification even in challenging traffic patterns and weather conditions.



  • Autonomous Vehicles & AI Research

    Real-Time Detection for Self-Driving Systems

    Autonomous driving developers rely on this license plate recognition database to train models for detecting and interpreting vehicle registrations in real-time traffic. By encompassing diverse road types, speed limits, and driving behaviors, the dataset ensures better performance in both simulated and real-world deployments.



FAQs

What is Car License Plate Detection Dataset used for?
The dataset is designed for license plate recognition, OCR tasks, and autonomous driving research. It supports detection, classification, and number plate recognition models, helping improve traffic management, smart city systems, and vehicle registration monitoring.
What types of annotations are provided?
Each image in the dataset contains OCR-based annotations, including plate text, vehicle model details, tags, and country information.
How was the data for this dataset collected?
The data was sourced from diverse real-world traffic flows, urban areas, and road conditions. Images were gathered across multiple countries and road types, ensuring broad coverage for traffic scenarios, vehicle registrations, and intelligent transportation research.
What should I consider before buying Car License Plate Detection Dataset?
Before purchasing, evaluate your project goals, such as character recognition, plate detection, or vehicle registration systems. Review the data diversity, country coverage, and annotation details, as these factors impact the performance of learning models, recognition technology, and real-time traffic applications.
Do Unidata datasets follow GDPR or other data privacy regulations?
Yes. Our datasets are developed in compliance with GDPR and related data privacy laws. Information comes only from lawful sources to ensure ethical handling.
How are Unidata datasets licensed?
Unidata datasets operate under a dual licensing framework: users may test free samples, but full dataset access is granted only via purchase.
How long does it take to receive the dataset?
After submitting your request, our team will reach out to review the details and complete the necessary paperwork. Once finalized and payment is received, the dataset will be provided within 3–10 days.
Is this a real-world dataset or synthetic data?
This is a real-world dataset. It contains over 3.8 million car license plate images collected by parsing videos from various sources.
Is this dataset suitable for training OCR models?
Yes. Every image includes OCR annotations containing the license plate text, making the dataset well suited for developing license plate OCR systems, text recognition models, and end-to-end ANPR pipelines.
Why is a multi-country license plate dataset important?
A dataset containing license plates from numerous countries helps AI models recognize different plate sizes, fonts, colors, and regional conventions. This leads to more accurate and scalable license plate recognition, ANPR, and OCR solutions deployed across international markets.
Still have questions about using Unidata datasets? Read our user-guides

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