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Netherlands License Plate Detection Dataset

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

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  • images
    88 753
  • Auto
  • Computer Vision
  • Machine Learning
  • Detection
  • Data annotation
  • Security
  • images
    88 753

Dataset Info

Characteristic Data
Description License plate images with labeling for OCR tasks
Tasks Detection, Classification, OCR
Total number of files 88 753
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 & Tolling

    Automating Billing and Vehicle Tracking

    Netherlands License Plate Detection Dataset supports license plate recognition for toll operators and logistics companies. Since the datasets contain annotated license plates captured under varied traffic conditions and road types, it ensures accurate billing, reliable vehicle registrations, and efficient fleet monitoring across national transportation systems and highway networks.



  • Smart City Development

    Enhancing Traffic Management and Urban Mobility

    City planners use license plate detection datasets to improve traffic management, optimize traffic lights, and analyze traffic patterns in busy urban areas. Real-world data on traffic density and road networks helps reduce traffic congestion, improve public transportation, and strengthen road safety through better traffic control.



  • Law Enforcement & Security

    Vehicle Identification and Road Safety Enforcement

    This dataset helps law enforcement agencies detect number plates, enforce speed limits, and monitor traffic scenarios. With annotated license plates collected across different weather conditions and road segments, it strengthens recognition systems for border control, stolen vehicle detection, and surveillance in both urban areas and highways.



  • Automotive & AI Research

    Training Recognition Models for Intelligent Vehicles

    Such dataset is essential for training AI models in autonomous driving and intelligent traffic applications. Since the datasets encompass diverse driving behaviors, traffic volumes, and road conditions, they provide high-quality benchmark datasets for researchers developing autonomous vehicles and advanced plate recognition technologies in complex real-time traffic environments.



FAQs

What does Netherlands License Plate Detection Dataset include?
The dataset contains 88,753 images of Dutch license plates with CSV annotation files. Each entry includes plain text transcription, vehicle model, country, and number plate details.
What is this dataset typically used for?
It is widely used for license plate recognition, OCR training, and vehicle tracking systems. It is applied in traffic management, road safety monitoring, smart city projects, and autonomous vehicles.
Where does the data come from?
The Netherlands License Plate Detection Dataset was created by parsing real-world traffic videos and extracting license plate images. This structured data collection ensures accuracy and consistency for OCR model training.
Can I order a custom dataset for specific needs?
Yes, Unidata provides custom datasets tailored to client requirements. You may request additional traffic scenarios, different road conditions, or expanded vehicle registration samples for specialized recognition systems.
Still have questions about using Unidata datasets? Read our user-guides

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