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USA License Plate Detection Dataset

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

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  • images
    89 986
  • Auto
  • Computer Vision
  • Machine Learning
  • Detection
  • Data annotation
  • Security
  • images
    89 986

Dataset Info

Characteristic Data
Description License plate images with labeling for OCR tasks
Tasks Detection, Classification, OCR
Total number of files 89 986
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 Fleet Tracking

    USA License Plate Detection Dataset enables toll operators and logistics providers to implement license plate recognition for automated billing and fleet management. Since the datasets contain annotated license plates captured in varied road conditions and traffic flows, they ensure accurate billing and reliable vehicle registrations across nationwide transportation systems.



  • Smart City Development

    Enhancing Traffic Control and Urban Mobility

    City planners use license plate datasets to optimize traffic lights, manage traffic patterns, and monitor traffic density in urban areas. By leveraging real-world data from road networks and traffic scenarios, municipalities reduce traffic congestion, improve public transportation, and strengthen road safety through smarter traffic management.



  • Law Enforcement & Security

    Vehicle Identification and Road Safety Enforcement

    This car plate detection dataset supports law enforcement in monitoring number plates, enforcing speed limits, and detecting stolen vehicles. With annotated license plates collected in multiple weather conditions and traffic scenarios, it strengthens recognition systems used in surveillance, border control, and traffic control across US highways and city roads.



  • Automotive & AI Research

    Training Models for Intelligent Vehicle Systems

    Researchers and automotive companies rely on such datasets for building learning models in autonomous driving and intelligent traffic applications. The datasets encompass diverse driving behaviors, traffic volumes, and road segments, providing high-quality benchmark datasets to improve plate recognition accuracy for autonomous vehicles in complex real-time traffic conditions.



FAQs

What is included in USA License Plate Detection Dataset?
The dataset consists of 89,986 annotated images in PNG format with corresponding CSV labeling files. Each entry includes license plate details such as text, number, country, and vehicle-related attributes for precise recognition tasks.
What file formats are provided with the dataset?
The USA license plate dataset includes image files in PNG format and annotations in CSV format. This ensures compatibility with most deep learning frameworks and OCR pipelines.
Can this dataset be combined with other license plate databases for larger training sets?
Yes, the dataset can be integrated with other regional or international license plate datasets. Combining datasets improves model generalization for multilingual OCR, cross-border traffic monitoring, and smart city applications.
Can I request a sample of the dataset before purchasing or downloading it?
Yes, Unidata provides dataset samples on request so you can assess the quality of images, annotations, and OCR labeling before committing to a full purchase. This ensures the dataset meets your project’s training and validation needs.
Still have questions about using Unidata datasets? Read our user-guides

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