---
title: "Hungary License Plate Detection Dataset"
description: "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…"
url: "https://unidata.pro/datasets/hungary-license-plate-detection-dataset/"
date_modified: "2025-12-04T19:07:13+03:00"
language: "en-US"
---
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

## Dataset Structure

### The Numbers Section

**Numbered list:** - **Number:** 96 518 — **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 | 96 518 |
| Marking | OCR |
| Labeling | Model, details, plane text, tag, country, number |

**Media Slider:**

- **Image in the slider:** ![](https://unidata.pro/wp-content/uploads/2025/05/primer1-5.webp)
- **Image in the slider:** ![](https://unidata.pro/wp-content/uploads/2025/05/primer21.webp)

**Link to the sample:** [Download sample](https://drive.google.com/drive/folders/1SAFhDV4JwwaMRd_wSDEuqF4u94u6m1sD?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 & Toll Systems — **Title:** Automating Vehicle Billing and Tracking — **Text:** 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.
- **Industry:** Smart City & Traffic Management — **Title:** Improving Urban Mobility and Traffic Control — **Text:** City planners use such 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.
- **Industry:** Law Enforcement & Security — **Title:** Vehicle Identification and Safety Enforcement — **Text:** 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.
- **Industry:** Autonomous Driving & AI Research — **Title:** Training Models for Intelligent Vehicle Systems — **Text:** 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.

### Fact

**FAQs Heading:** FAQs

**List of Questions:**

- **Question:** What should I consider before purchasing Hungary License Plate Detection Dataset? — **Answer:** 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.
- **Question:** What does the dataset include? — **Answer:** 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.
- **Question:** How diverse is the dataset? — **Answer:** 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.
- **Question:** Can I request a sample before purchase? — **Answer:** 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.
- **Question:** How are Unidata datasets licensed? — **Answer:** Unidata datasets follow a dual-licensing model that ensures flexibility for users. Free samples are available for testing and evaluation, while full Hungary License Plate Detection Dataset is offered exclusively after purchase.
- **Question:** Do Unidata datasets follow GDPR or other data privacy regulations? — **Answer:** Yes. All Unidata datasets are curated in full compliance with GDPR and other international data protection regulations. The data is collected only from legally permissible sources, ensuring ethical usage across traffic management, transportation systems, and smart city applications.
- **Question:** How are Unidata datasets stored? — **Answer:** Unidata datasets are securely stored on AWS cloud infrastructure, providing scalability, reliability, and high availability for traffic research and AI-driven projects. All storage practices align with ISO 27001 and ISO 27701 standards, creating a trusted environment for handling annotated license plates and OCR labeling.
- **Question:** Is this a real-world dataset or synthetic data? — **Answer:** This is a real-world dataset created by parsing traffic video sources, ensuring authentic traffic patterns, urban mobility, and driving behaviors are represented. Unlike synthetic datasets, it reflects genuine traffic density, road segments, and public transportation contexts, making it a strong benchmark dataset for autonomous driving and intelligent traffic control applications.
- **Question:** Can this dataset be integrated into existing traffic monitoring systems? — **Answer:** Yes. The dataset can be incorporated into AI pipelines for smart traffic management, parking automation, surveillance systems, and transportation analytics requiring Hungarian vehicle plate recognition.

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