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Commercial
USA License Plate Detection Dataset
The dataset includes annotated license plates from real-world traffic in USA, providing high-quality images for license plate recognition, license plate detection, and OCR tasks, supporting autonomous vehicles, traffic management, and smart city applications
-
- images
- 73 384
- Auto
- Computer Vision
- Machine Learning
- Detection
- Data annotation
- Security
- Auto
- Computer Vision
- Machine Learning
- Detection
- Data annotation
- Security
The dataset includes annotated license plates from real-world traffic in USA, providing high-quality images for license plate recognition, license plate detection, and OCR tasks, supporting autonomous vehicles, traffic management, and smart city applications
- Auto
- Computer Vision
- Machine Learning
- Detection
- Data annotation
- Security
-
- images
- 73 384
Dataset Info
| Characteristic | Data |
| Description | License plate images with labeling for OCR tasks |
| Tasks | Detection, Classification, OCR |
| Total number of files | 73 384 |
| 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 file formats are provided with the dataset?
The USA license plate dataset includes image files in PNG format and annotations in CSV format. This ensures compatibility with most deep learning frameworks and OCR pipelines.
Can this dataset be combined with other license plate databases for larger training sets?
Yes, the dataset can be integrated with other regional or international license plate datasets. Combining datasets improves model generalization for multilingual OCR, cross-border traffic monitoring, and smart city applications.
Can I request a sample of the dataset before purchasing or downloading it?
Yes, Unidata provides dataset samples on request so you can assess the quality of images, annotations, and OCR labeling before committing to a full purchase. This ensures the dataset meets your project’s training and validation needs.
How long does it take to receive the dataset?
After a request is submitted, Unidata will confirm the details and complete the required documentation. Following agreement and payment, USA License Plate Detection Dataset will be delivered within 3-10 business days.
Can this USA license plate dataset improve OCR accuracy?
Yes. The dataset is suitable for developing OCR and license plate recognition systems because it contains high-quality vehicle images with annotated license plate locations. It supports machine learning models that perform plate localization before optical character recognition.
Why is real-world diversity important for license plate AI models?
License plate detection models perform better when trained on images containing varying camera angles, vehicle colors, backgrounds, and environmental conditions. Real-world diversity helps reduce false detections and improves generalization across different deployment scenarios.
Do Unidata datasets follow GDPR or other data privacy regulations?
Yes. All Unidata datasets are curated under GDPR and relevant data protection frameworks. The data is collected only from lawful and ethically permissible sources to support safe and responsible use in traffic management and recognition technology.
How are Unidata datasets stored?
Unidata datasets are securely managed on AWS cloud infrastructure, ensuring scalability and high availability. The storage complies with ISO 27001 and ISO 27701 standards, meaning annotated license plates and OCR data are handled in a reliable, privacy-focused, and internationally recognized security environment.
Still have questions about using Unidata datasets?
Read our user-guides
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