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Poland License Plate Detection Dataset

The dataset includes annotated license plates from real-world traffic scenarios in Poland, providing high-quality images for license plate recognition, license plate detection, and OCR tasks, making it an essential resource for autonomous vehicles, traffic management, and smart city applications.

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  • images
    196 664
  • Auto
  • Computer Vision
  • Machine Learning
  • Detection
  • Data annotation
  • Security
  • images
    196 664

Dataset Info

Characteristic Data
Description License plate images with labeling for OCR tasks
Tasks Detection, Classification, OCR
Total number of files 196 664
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 Vehicle Tracking and Toll Collection

    Poland License Plate Detection Dataset helps logistics companies and toll operators deploy license plate recognition for seamless billing and vehicle tracking. Since the datasets contain annotated license plates across varied traffic conditions and road types, it ensures reliable detection in real-time traffic and supports efficient fleet and delivery management.



  • Smart City Infrastructure

    Traffic Management and Urban Mobility

    City planners use license plate detection datasets to build systems for traffic control, traffic management, and road safety. By training learning models on real-world data from urban areas, developers can monitor traffic flows, regulate traffic lights, and reduce traffic congestion, enhancing overall urban mobility and public transportation efficiency.



  • Law Enforcement & Security

    Vehicle Identification and Road Safety Enforcement

    This car plate detection dataset supports law enforcement in detecting number plates for monitoring speed limits, identifying stolen vehicles, and enforcing traffic scenarios. With annotated license plates from diverse road networks and weather conditions, it strengthens surveillance tools and recognition systems used in public transport hubs, highways, and border control.



  • Autonomous Driving & AI Research

    Training Models for Intelligent Vehicle Systems

    Researchers and automotive companies rely on the license plate detection database to train learning models for autonomous vehicles and intelligent traffic applications. The datasets encompass varied road segments, traffic density, and driving behaviors, providing high-quality real-world data essential for building autonomous driving systems that adapt to Poland’s road conditions.



FAQs

In what format is Poland License Plate Detection Dataset provided?
The dataset is delivered in PNG image files with corresponding CSV annotation files. This makes it compatible with most machine learning frameworks, OCR tools, and computer vision pipelines.
What types of annotations are provided?
This dataset includes OCR labels with plain text transcription of license numbers, vehicle details, and country tags. These annotations are essential for plate recognition models, classification tasks, and OCR algorithms.
How was the data collected?
The dataset was created by parsing real-world traffic videos captured in diverse road conditions and urban areas. This ensures authentic data collection with varied traffic patterns, weather conditions, and driving behaviors.
Is it possible to request a custom dataset?
Yes, Unidata can create custom datasets based on your project needs. You may request additional traffic scenarios, different road conditions, or extended vehicle registration samples for specialized plate recognition systems.
Still have questions about using Unidata datasets? Read our user-guides

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