---
title: "Belgium License Plate Detection Dataset"
description: "The dataset contains annotated license plates from real-world traffic in Belgium, offering high-quality images for license plate recognition, license plate detection, and OCR tasks, supporting…"
url: "https://unidata.pro/datasets/belgium-license-plate-detection-dataset/"
date_modified: "2026-05-28T04:02:03+03:00"
language: "en-US"
---
The dataset contains annotated license plates from real-world traffic in Belgium, offering high-quality images for license plate recognition, license plate detection, and OCR tasks, supporting autonomous vehicles, traffic management, and smart city development

## Dataset Structure

### The Numbers Section

**Numbered list:** - **Number:** 65 166 — **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 | 65 166 |
| Marking | OCR |
| Labeling | Model, details, plane text, tag, country, number |

**Media Slider:**

- **Image in the slider:** ![](https://unidata.pro/wp-content/uploads/2025/05/primer2-7.webp)
- **Image in the slider:** ![](https://unidata.pro/wp-content/uploads/2025/05/primer1-8.webp)

**Link to the sample:** [Download sample](https://drive.google.com/drive/folders/1RgX5N4tYdFvgBp0iQ1trCrbUXUOuvfVR?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 Tolling and Fleet Monitoring — **Text:** Belgium License Plate Detection Dataset enables logistics providers and toll operators to implement license plate recognition for automated billing and fleet tracking. Since the datasets contain annotated license plates under varied traffic conditions and road types, they deliver reliable results in real-time traffic, improving efficiency across national transportation systems.
- **Industry:** Smart City Development — **Title:** Traffic Management and Urban Mobility — **Text:** City planners and technology providers use such datasets to improve traffic control, optimize traffic lights, and analyze traffic patterns. By training learning models on real-world data from urban areas and road networks, municipalities can reduce traffic congestion and enhance overall urban mobility and road safety.
- **Industry:** Law Enforcement & Security — **Title:** Vehicle Tracking and Road Safety Enforcement — **Text:** The dataset supports law enforcement in identifying number plates for enforcing speed limits, detecting stolen vehicles, and monitoring traffic scenarios. With annotated license plates captured in multiple weather conditions and across different road segments, it strengthens recognition systems used in border control, surveillance, and public transport hubs.
- **Industry:** Automotive & AI Research — **Title:** Training Models for Intelligent Vehicles — **Text:** This dataset is essential for building autonomous driving and intelligent traffic applications. The datasets encompass diverse driving behaviors, traffic density, and road conditions, offering high-quality benchmark datasets for learning models. Researchers and automotive companies use it to train systems for autonomous vehicles and advanced recognition technology.

### Fact

**FAQs Heading:** FAQs

**List of Questions:**

- **Question:** What is this dataset used for? — **Answer:** This car plate dataset is used for license plate recognition, OCR training, and computer vision models. It supports traffic management systems, road safety applications, smart city solutions, and autonomous vehicles.
- **Question:** What types of annotations are provided? — **Answer:** The dataset includes OCR-based annotations such as plate numbers, text transcription, country tags, and vehicle details. These annotations make it useful for classification, OCR models, and intelligent traffic systems.
- **Question:** What are the sources of data for Unidata datasets? — **Answer:** Unidata datasets are developed through structured data collection and curation. Belgium License Plate Detection Dataset was created by parsing real-world traffic videos and extracting license plate images for labeling.
- **Question:** How are Unidata datasets licensed? — **Answer:** Unidata datasets are offered under a dual-licensing system. Free samples are available for testing and validation, while the full Belgium License Plate Detection Dataset can only be accessed through purchase.
- **Question:** Do Unidata datasets follow GDPR or other data privacy regulations? — **Answer:** Yes. All Unidata datasets are created in full compliance with GDPR and relevant data protection standards. Data collection is carried out only from legal sources, making the dataset safe for license plate recognition, OCR, and intelligent traffic system research.
- **Question:** How are Unidata datasets stored? — **Answer:** Unidata datasets are hosted on AWS cloud infrastructure for secure storage and fast access. The system follows ISO 27001 and ISO 27701 standards, providing a reliable, scalable, and privacy-focused environment for real-world transportation data.
- **Question:** How long does it take to receive the dataset? — **Answer:** Once your request is submitted, Unidata will confirm the details and provide the necessary documentation. After finalizing the agreement and payment, a dataset is typically delivered within 3-10 days.
- **Question:** Can this dataset be used for parking management and vehicle access control? — **Answer:** Yes. The dataset supports parking automation, gated access systems, toll collection, and vehicle identification by providing accurately labeled Belgian license plates for detection and OCR tasks. It is suitable for both commercial and research applications.

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