---
title: "Netherlands License Plate Detection Dataset"
description: "The dataset contains annotated license plates from real-world traffic scenarios in the Netherlands, providing high-quality images for license plate recognition, license plate detection, and OCR…"
url: "https://unidata.pro/datasets/netherlands-license-plate-detection-dataset/"
date_modified: "2025-12-04T19:07:46+03:00"
language: "en-US"
---
The dataset contains annotated license plates from real-world traffic scenarios in the Netherlands, providing high-quality images for license plate recognition, license plate detection, and OCR tasks, supporting autonomous vehicles, traffic management, and smart city innovations.

## Dataset Structure

### The Numbers Section

**Numbered list:** - **Number:** 88 753 — **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 | 88 753 |
| Marking | OCR |
| Labeling | Model, details, plane text, tag, country, number |

**Media Slider:**

- **Image in the slider:** ![](https://unidata.pro/wp-content/uploads/2025/05/primer2-6.webp)
- **Image in the slider:** ![](https://unidata.pro/wp-content/uploads/2025/05/primer11.webp)

**Link to the sample:** [Download sample](https://drive.google.com/drive/folders/17pMOWOOzcq7km-pTQzUJ9ezrp5UkOeug?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 & Tolling — **Title:** Automating Billing and Vehicle Tracking — **Text:** Netherlands License Plate Detection Dataset supports license plate recognition for toll operators and logistics companies. Since the datasets contain annotated license plates captured under varied traffic conditions and road types, it ensures accurate billing, reliable vehicle registrations, and efficient fleet monitoring across national transportation systems and highway networks.
- **Industry:** Smart City Development — **Title:** Enhancing Traffic Management and Urban Mobility — **Text:** City planners use license plate detection datasets to improve traffic management, optimize traffic lights, and analyze traffic patterns in busy urban areas. Real-world data on traffic density and road networks helps reduce traffic congestion, improve public transportation, and strengthen road safety through better traffic control.
- **Industry:** Law Enforcement & Security — **Title:** Vehicle Identification and Road Safety Enforcement — **Text:** This dataset helps law enforcement agencies detect number plates, enforce speed limits, and monitor traffic scenarios. With annotated license plates collected across different weather conditions and road segments, it strengthens recognition systems for border control, stolen vehicle detection, and surveillance in both urban areas and highways.
- **Industry:** Automotive & AI Research — **Title:** Training Recognition Models for Intelligent Vehicles — **Text:** Such dataset is essential for training AI models in autonomous driving and intelligent traffic applications. Since the datasets encompass diverse driving behaviors, traffic volumes, and road conditions, they provide high-quality benchmark datasets for researchers developing autonomous vehicles and advanced plate recognition technologies in complex real-time traffic environments.

### Fact

**FAQs Heading:** FAQs

**List of Questions:**

- **Question:** What is this dataset typically used for? — **Answer:** It is widely used for license plate recognition, OCR training, and vehicle tracking systems. It is applied in traffic management, road safety monitoring, smart city projects, and autonomous vehicles.
- **Question:** Where does the data come from? — **Answer:** The Netherlands License Plate Detection Dataset was created by parsing real-world traffic videos and extracting license plate images. This structured data collection ensures accuracy and consistency for OCR model training.
- **Question:** Can I order a custom dataset for specific needs? — **Answer:** Yes, Unidata provides custom datasets tailored to client requirements. You may request additional traffic scenarios, different road conditions, or expanded vehicle registration samples for specialized recognition systems.
- **Question:** Do Unidata datasets follow GDPR or other data privacy regulations? — **Answer:** Yes. All Unidata datasets, including Netherlands License Plate Detection Dataset, are curated in full compliance with GDPR and international data privacy laws. Data is collected from legally permissible video sources, ensuring responsible collection for intelligent traffic and transportation systems.
- **Question:** How are Unidata datasets stored? — **Answer:** Unidata stores all datasets securely on AWS cloud infrastructure, providing high availability and scalability for large-scale traffic analysis. Storage practices comply with ISO 27001 and ISO 27701 standards, ensuring that annotated license plates and OCR labels are handled with maximum security and privacy.
- **Question:** How long does it take to receive the dataset? — **Answer:** After submitting a request, Unidata reviews the details and finalizes documents with you. Once the agreement is signed and payment is processed, a dataset is typically delivered within 3–10 business days.
- **Question:** Is this a real-world dataset or synthetic data? — **Answer:** This is a real-world dataset created by parsing videos from diverse transportation environments in the Netherlands. Unlike synthetic datasets, it reflects authentic traffic patterns, road conditions, and driving behaviors, supporting applications in autonomous driving, road safety, and smart city mobility solutions.
- **Question:** Is this dataset suitable for end-to-end Automatic Number Plate Recognition (ANPR)? — **Answer:** Yes. The dataset combines license plate images with OCR annotations and metadata, allowing developers to train both license plate detection and text recognition models within a complete ANPR pipeline.

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