---
title: "Spain License Plate Detection Dataset"
description: "The dataset comprises annotated license plates from real-world traffic scenarios in Spain, offering high-quality images for license plate recognition, license plate detection, and OCR tasks,…"
url: "https://unidata.pro/datasets/spain-license-plate-detection-dataset/"
date_modified: "2026-05-28T04:06:02+03:00"
language: "en-US"
---
The dataset comprises annotated license plates from real-world traffic scenarios in Spain, offering 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:** 116 237 — **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 | 116 237 |
| Marking | OCR |
| Labeling | Model, details, plane text, tag, country, number |

**Media Slider:**

- **Image in the slider:** ![](https://unidata.pro/wp-content/uploads/2025/05/primer1-4.webp)
- **Image in the slider:** ![](https://unidata.pro/wp-content/uploads/2025/05/primer2-4.webp)

**Link to the sample:** [Download sample](https://drive.google.com/drive/folders/1kr7RADX1IkkvjldZgK7vfMn6ST8aA0EJ?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:** Spain License Plate Detection Dataset supports car plate recognition for toll operators and fleet managers. Since the datasets contain annotated license plates across various road conditions and traffic scenarios, they ensure accurate billing, reliable vehicle registrations, and efficient monitoring of real-time traffic in national transportation systems.
- **Industry:** Smart City Development — **Title:** Enhancing Traffic Management and Urban Mobility — **Text:** City authorities use the dataset to improve traffic control and optimize traffic lights in congested urban areas. By training learning models on real-world data covering traffic patterns and road networks, planners can reduce traffic congestion and improve overall urban mobility and public transportation efficiency.
- **Industry:** Law Enforcement & Security — **Title:** Supporting Vehicle Identification and Road Safety — **Text:** This car plate detection dataset helps law enforcement detect number plates, enforce speed limits, and identify stolen vehicles. With annotated license plates recorded under varied weather conditions and road types, this data strengthens recognition systems used for road safety, border security, and surveillance in both highways and public transportation hubs.
- **Industry:** Automotive & AI Research — **Title:** Training Recognition Models for Autonomous Driving — **Text:** The license plate detection database is vital for building intelligent traffic and autonomous driving applications. Since the datasets encompass diverse driving behaviors, traffic density, and road segments, researchers use them to train learning models that improve plate recognition and character recognition accuracy for autonomous vehicles navigating complex traffic conditions.

### Fact

**FAQs Heading:** FAQs

**List of Questions:**

- **Question:** What does Spain License Plate Detection Dataset include? — **Answer:** This license plate recognition database contains 116,237 images of Spanish license plates with CSV annotation files. Labels include plain text transcription, vehicle model, country, and number plate character recognition.
- **Question:** What types of annotations are available? — **Answer:** The annotated dataset provides OCR labels with registration numbers, text transcriptions, and metadata such as vehicle model and country. These annotations support character segmentation and automatic number plate recognition systems.
- **Question:** Where does the data come from? — **Answer:** Unidata datasets are created through structured data collection. Spain License Plate Detection Dataset was developed by parsing real-world traffic videos and extracting license plate images for OCR labeling.
- **Question:** Does Unidata offer custom license plate datasets? — **Answer:** Yes, Unidata can create custom datasets to match your specific use case. You may request additional traffic scenarios, varied road conditions, or expanded vehicle registrations to strengthen plate recognition models.
- **Question:** Is the dataset appropriate for smart transportation projects? — **Answer:** Yes. It can be used for intelligent transportation systems, parking access control, highway monitoring, traffic analytics, and vehicle identification platforms requiring accurate license plate detection.
- **Question:** Can this dataset improve automatic license plate recognition accuracy? — **Answer:** Yes. The dataset helps improve both localization and character recognition accuracy by exposing AI models to realistic Spanish license plates captured in different traffic environments and weather conditions.
- **Question:** Does this dataset follow GDPR or other data privacy regulations? — **Answer:** Yes. Spain License Plate Detection Dataset is curated in compliance with GDPR and international privacy laws. Data was collected from legal and ethical sources, ensuring safe use for license plate recognition and traffic management applications.
- **Question:** How are Unidata datasets stored? — **Answer:** Unidata datasets are hosted on secure AWS cloud infrastructure, which ensures scalability, reliability, and high availability. The storage system follows ISO 27001 and ISO 27701 standards, providing a robust and compliant environment for handling sensitive vehicle recognition data.
- **Question:** How long does it take to receive the dataset? — **Answer:** Once you submit a request, Unidata reviews the details and prepares the required documents. After the contract is signed and payment is made, 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 video footage from diverse traffic conditions across Spain. It captures license plates under varying lighting, road networks, and urban mobility scenarios, making it highly relevant for autonomous driving, smart city solutions, and law enforcement.

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