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Commercial
Netherlands License Plate Detection Dataset
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.
-
- images
- 73 412
- Auto
- Computer Vision
- Machine Learning
- Detection
- Data annotation
- Security
- Auto
- Computer Vision
- Machine Learning
- Detection
- Data annotation
- Security
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.
- Auto
- Computer Vision
- Machine Learning
- Detection
- Data annotation
- Security
-
- images
- 73 412
Dataset Info
| Characteristic | Data |
| Description | License plate images with labeling for OCR tasks |
| Tasks | Detection, Classification, OCR |
| Total number of files | 73 412 |
| Marking | OCR |
| Labeling | Model, details, plane text, tag, country, number |
Technical
Characteristics
| Characteristic | Data |
| Image extensions | PNG |
| Extension of labeling file | CSV |
Dataset Use Cases
FAQs
What is this dataset typically used for?
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.
Where does the data come from?
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.
Can I order a custom dataset for specific needs?
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.
Do Unidata datasets follow GDPR or other data privacy regulations?
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.
How are Unidata datasets stored?
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.
How long does it take to receive the dataset?
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.
Is this a real-world dataset or synthetic data?
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.
Is this dataset suitable for end-to-end Automatic Number Plate Recognition (ANPR)?
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.
Still have questions about using Unidata datasets?
Read our user-guides
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