---
title: "Poland License Plate Detection Dataset"
description: "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,…"
url: "https://unidata.pro/datasets/poland-license-plate-detection-dataset/"
date_modified: "2025-12-04T19:06:15+03:00"
language: "en-US"
---
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.

## Dataset Structure

### The Numbers Section

**Numbered list:** - **Number:** 196 664 — **Text:** images

### Tooltips Section

**Tooltip items:**

- **Name:** Auto
- **Name:** Computer Vision
- **Name:** Machine Learning
- **Name:** Detection
- **Name:** Data annotation
- **Name:** Security

### Dataset Information

**Table with data:**

| 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 |

**Media Slider:**

- **Image in the slider:** ![](https://unidata.pro/wp-content/uploads/2025/05/primer1.webp)
- **Image in the slider:** ![](https://unidata.pro/wp-content/uploads/2025/05/primer2.webp)

**Link to the sample:** [Download sample](https://drive.google.com/drive/folders/1k9VG-pYGan81pfCQnmwiyKPIZ_vOUUpg?usp=sharing)

### Technical Specifications

**Table with data:**

| Characteristic | Data |
| --- | --- |
| Image extensions | PNG |
| Extension of labeling file | CSV |

**Source and data collection methodology:** Source and collection methodology: Data was collected by parsing videos from various sources

### Dataset Use Cases - Slider

**Industry Cards:**

- **Industry:** Transportation & Logistics — **Title:** Automating Vehicle Tracking and Toll Collection — **Text:** 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.
- **Industry:** Smart City Infrastructure — **Title:** Traffic Management and Urban Mobility — **Text:** 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.
- **Industry:** Law Enforcement & Security — **Title:** Vehicle Identification and Road Safety Enforcement — **Text:** 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.
- **Industry:** Autonomous Driving & AI Research — **Title:** Training Models for Intelligent Vehicle Systems — **Text:** 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.

### Fact

**FAQs Heading:** FAQs

**List of Questions:**

- **Question:** In what format is Poland License Plate Detection Dataset provided? — **Answer:** 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.
- **Question:** What types of annotations are provided? — **Answer:** 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.
- **Question:** How was the data collected? — **Answer:** 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.
- **Question:** Is it possible to request a custom dataset? — **Answer:** 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.
- **Question:** How are Unidata datasets licensed? — **Answer:** Unidata datasets are distributed under a dual-licensing model. Free samples are offered for evaluation and testing, while full access to the full dataset requires purchase.
- **Question:** Do Unidata datasets follow GDPR or other data privacy regulations? — **Answer:** Yes. All Unidata datasets are prepared in full compliance with GDPR and other applicable data protection regulations. Data is collected from lawful sources, ensuring ethical use in license plate recognition, OCR tasks, and intelligent transportation systems.
- **Question:** How long does it take to receive the dataset? — **Answer:** After submitting a request, Unidata will confirm details and provide documentation for review. Once the agreement is signed and payment is complete, Poland License Plate Detection Dataset will be delivered within 3-10 days.
- **Question:** Is this a real-world dataset or synthetic data? — **Answer:** This is a real-world dataset created from actual video recordings of traffic in Poland. The data reflects authentic traffic conditions and urban mobility, making it valuable for training license plate detection models and autonomous vehicle systems.
- **Question:** What computer vision tasks does this dataset support besides plate recognition? — **Answer:** Beyond OCR, the dataset supports object detection and classification tasks. This makes it usable in pipelines that need to first locate a plate in a scene before reading its text.

[Full list of this site's AI-readable pages](https://unidata.pro/llms.txt)