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Commercial
Italy License Plate Detection Dataset
The dataset includes annotated license plates from real-world traffic conditions in Italy, offering high-quality images for license plate recognition, license plate detection, and OCR tasks, enabling advancements in autonomous vehicles, traffic management, and smart city applications
-
- images
- 74 600
- 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 conditions in Italy, offering high-quality images for license plate recognition, license plate detection, and OCR tasks, enabling advancements in autonomous vehicles, traffic management, and smart city applications
- Auto
- Computer Vision
- Machine Learning
- Detection
- Data annotation
- Security
-
- images
- 74 600
Dataset Info
| Characteristic | Data |
| Description | License plate images with labeling for OCR tasks |
| Tasks | Detection, Classification, OCR |
| Total number of files | 74 600 |
| 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 should I check before purchasing Italy License Plate Detection Dataset?
Before buying the dataset, consider the image format, the number of files, and the annotation details provided. Make sure it supports your needs for license plate recognition, OCR tasks, or autonomous driving applications.
How diverse is the dataset?
It encompasses traffic scenarios from various urban areas and road types, covering different traffic conditions and mobility patterns. This diversity makes it effective for building recognition systems.
What formats are included?
The dataset is delivered in PNG image files with CSV annotation files. These formats are compatible with most computer vision pipelines, machine learning models, and OCR frameworks.
Can I preview a sample before purchase?
Yes, a sample of the license plate detection database can be provided. Reviewing the image quality, OCR labels, and CSV file structure will help you confirm whether it fits your project requirements.
Do Unidata datasets follow GDPR or other data privacy regulations?
Yes. All Unidata datasets are fully compliant with GDPR and related international privacy standards. The Italy License Plate Detection Dataset is built only from legally permissible video sources, ensuring ethical data collection for traffic management and smart city research.
How are Unidata datasets stored?
Unidata securely stores all datasets on AWS cloud infrastructure, ensuring reliable delivery and scalable access for large-scale traffic and transportation studies. Storage practices are aligned with ISO 27001 and ISO 27701 standards, guaranteeing robust information security and data privacy when working with annotated license plates.
How long does it take to receive the dataset?
Once a request is submitted, Unidata will confirm requirements and complete documentation. After signing and payment, a dataset is typically delivered within 3–10 business days, ready for use in license plate recognition and OCR tasks.
Is this a real-world dataset or synthetic data?
This is a real-world dataset built from parsed video sources, reflecting authentic traffic patterns, road networks, and urban mobility in Italy. Unlike synthetic datasets, it captures genuine traffic volumes, speed limits, and public transportation contexts, supporting research in autonomous vehicles, smart city systems, and road safety analytics.
Can this dataset improve OCR performance on Italian license plates?
Yes. Because the dataset contains authentic Italian license plates collected from real traffic videos, it exposes OCR models to natural variations in perspective, illumination, motion, and environmental conditions. This improves recognition accuracy compared to synthetic-only training data.
Still have questions about using Unidata datasets?
Read our user-guides
Unidata Cases
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