Commercial
Car License Plate Detection Dataset
The license plate dataset contains vehicle images with annotated license plates, enabling accurate recognition of number plates across various traffic conditions and road environments
-
- Million images
- 2.6
-
- Countries
- 86

- Computer Vision
- Data annotation
- Detection
- Auto
- Machine Learning
- Security
The license plate dataset contains vehicle images with annotated license plates, enabling accurate recognition of number plates across various traffic conditions and road environments
- Computer Vision
- Data annotation
- Detection
- Auto
- Machine Learning
- Security
-
- Million images
- 2.6
-
- Countries
- 86
Dataset Info
Characteristic | Data |
Description | Car license plate images with labeling for OCR tasks |
Data types | Image |
Tasks | Detection, Classification, OCR |
Total number of files | 2,663,532 |
Marking | OCR |
Labeling | Model, details, plate text, tag, country |
Countries | Poland, Germany, France, Ukraine, Spain, United Kingdom, Hungary, Netherlands, USA, Italy, Belgium, China, Belarus, Turkey, Serbia, Lithuania, Kazakhstan, Bulgaria, Romania, Austria, Switzerland, Slovakia, Czech Republic, USSR, Latvia, Norway, Croatia, Vietnam, Canada, Greece, Indonesia, Finland, Georgia, Estonia, UAE, Israel, Thailand, Uzbekistan, Sweden, Slovenia, Luxembourg, Ireland, Portugal, Moldova, Guernsey, Non-recognized and partially recognized states, Denmark, Malta, Azerbaijan, Armenia, Kyrgyzstan and etc. |
Statistics
-
- Distribution by continent
Technical
Characteristics
Characteristic | Data |
Image extensions | png |
Extension of labeling file | csv |
Dataset Use Cases
FAQs
What is the Car License Plate Detection Dataset used for?
The dataset is designed for license plate recognition, OCR tasks, and autonomous driving research. It supports detection, classification, and number plate recognition models, helping improve traffic management, smart city systems, and vehicle registration monitoring.
What types of annotations are provided?
Each image in the dataset contains OCR-based annotations, including plate text, vehicle model details, tags, and country information.
How was the data for this dataset collected?
The data was sourced from diverse real-world traffic flows, urban areas, and road conditions. Images were gathered across multiple countries and road types, ensuring broad coverage for traffic scenarios, vehicle registrations, and intelligent transportation research.
What should I consider before buying Car License Plate Detection Dataset?
Before purchasing, evaluate your project goals, such as character recognition, plate detection, or vehicle registration systems. Review the data diversity, country coverage, and annotation details, as these factors impact the performance of learning models, recognition technology, and real-time traffic applications.
Do Unidata datasets follow GDPR or other data privacy regulations?
Yes. Our datasets are developed in compliance with GDPR and related data privacy laws. Information comes only from lawful sources to ensure ethical handling.
How are Unidata datasets licensed?
Unidata datasets operate under a dual licensing framework: users may test free samples, but full dataset access is granted only via purchase.
How long does it take to receive the dataset?
After submitting your request, our team will reach out to review the details and complete the necessary paperwork. Once finalized and payment is received, the dataset will be provided within 3–10 days.
Is this a real-world dataset or synthetic data?
This is a real-world dataset. It contains over 2.6 million car license plate images collected by parsing videos from various sources.
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