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Belgium License Plate Detection Dataset

The dataset contains annotated license plates from real-world traffic in Belgium, offering high-quality images for license plate recognition, license plate detection, and OCR tasks, supporting autonomous vehicles, traffic management, and smart city development

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  • images
    58 229
  • Auto
  • Computer Vision
  • Machine Learning
  • Detection
  • Data annotation
  • Security
  • images
    58 229

Dataset Info

Characteristic Data
Description License plate images with labeling for OCR tasks
Tasks Detection, Classification, OCR
Total number of files 58 229
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 & Logistics

    Automating Tolling and Fleet Monitoring

    Belgium License Plate Detection Dataset enables logistics providers and toll operators to implement license plate recognition for automated billing and fleet tracking. Since the datasets contain annotated license plates under varied traffic conditions and road types, they deliver reliable results in real-time traffic, improving efficiency across national transportation systems.



  • Smart City Development

    Traffic Management and Urban Mobility

    City planners and technology providers use the license plate datasets to improve traffic control, optimize traffic lights, and analyze traffic patterns. By training learning models on real-world data from urban areas and road networks, municipalities can reduce traffic congestion and enhance overall urban mobility and road safety.



  • Law Enforcement & Security

    Vehicle Tracking and Road Safety Enforcement

    This dataset supports law enforcement in identifying number plates for enforcing speed limits, detecting stolen vehicles, and monitoring traffic scenarios. With annotated license plates captured in multiple weather conditions and across different road segments, it strengthens recognition systems used in border control, surveillance, and public transport hubs.



  • Automotive & AI Research

    Training Models for Intelligent Vehicles

    Such datasets are essential for building autonomous driving and intelligent traffic applications. The datasets encompass diverse driving behaviors, traffic density, and road conditions, offering high-quality benchmark datasets for learning models. Researchers and automotive companies use it to train systems for autonomous vehicles and advanced recognition technology.



FAQs

What is included in Belgium License Plate Detection Dataset?
The dataset contains 58,229 images of Belgian license plates along with CSV labeling files. Labels include plain text transcription, vehicle model, tag, country, and number plate character recognition.
What is this dataset used for?
This car plate dataset is used for license plate recognition, OCR training, and computer vision models. It supports traffic management systems, road safety applications, smart city solutions, and autonomous vehicles.
What types of annotations are provided?
The dataset includes OCR-based annotations such as plate numbers, text transcription, country tags, and vehicle details. These annotations make it useful for classification, OCR models, and intelligent traffic systems.
What are the sources of data for Unidata datasets?
Unidata datasets are developed through structured data collection and curation. Belgium License Plate Detection Dataset was created by parsing real-world traffic videos and extracting license plate images for labeling.
Still have questions about using Unidata datasets? Read our user-guides

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