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Hungary License Plate Detection Dataset

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

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  • images
    96 518
  • Auto
  • Computer Vision
  • Machine Learning
  • Detection
  • Data annotation
  • Security
  • images
    96 518

Dataset Info

Characteristic Data
Description License plate images with labeling for OCR tasks
Tasks Detection, Classification, OCR
Total number of files 96 518
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 Vehicle Billing and Tracking

    Hungary License Plate Detection Dataset enables logistics firms and toll operators to implement license plate recognition for seamless billing and monitoring. Since the datasets contain annotated license plates across various road conditions and traffic flows, they deliver reliable detection in real-time traffic, supporting efficient fleet tracking and transportation systems.



  • Smart City & Traffic Management

    Improving Urban Mobility and Traffic Control

    City planners use 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 patterns, road networks, and traffic density, municipalities can reduce traffic congestion and improve public transportation and overall road safety.



  • Law Enforcement & Security

    Vehicle Identification and Safety Enforcement

    This dataset supports police and security agencies in detecting number plates, enforcing speed limits, and identifying stolen vehicles. With annotated license plates captured under varied weather conditions and road types, it strengthens surveillance systems and recognition technology used for border checks, road safety, and traffic scenarios.



  • Autonomous Driving & AI Research

    Training Models for Intelligent Vehicle Systems

    Researchers and automotive developers rely on such datasets to build autonomous driving and intelligent traffic applications. The datasets encompass diverse road segments, driving behaviors, and traffic volumes, providing high-quality benchmark datasets for training learning models that support autonomous vehicles in complex and dynamic traffic conditions.



FAQs

What should I consider before purchasing Hungary License Plate Detection Dataset?
When buying this dataset, check the image formats, annotations, and dataset size to ensure they align with your goals. Consider whether it supports your applications in license plate recognition, OCR tasks, or autonomous driving research.
What does the dataset include?
It contains 96,518 images of Hungarian license plates with corresponding CSV annotation files. Labels include plain text transcription, vehicle model, tag, country, and number plate characters.
How diverse is the dataset?
The dataset includes license plates captured under varied traffic flows, weather conditions, and urban mobility scenarios. This diversity supports the training of robust recognition models for real-time traffic systems.
Can I request a sample before purchase?
Yes, a sample of the license plate detection database is available on request. This allows you to evaluate the image quality, OCR labels, and CSV annotation structure before committing to the full dataset.
Still have questions about using Unidata datasets? Read our user-guides

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