Datasets:
license: cc-by-nc-nd-4.0
task_categories:
- object-detection
- image-classification
- image-to-text
- image-feature-extraction
tags:
- ocr
- lpr
- vehicles
- plate detection
- licensed plate
- character recognition
- cars
- alpr cameras
- detection algorithms
size_categories:
- 1M<n<10M
Licensed Plate - Character Recognition for LPR, ALPR and ANPR
The dataset features license plates from 32+ countries and includes 1,200,000+ images with OCR. It focuses on plate recognitions and related detection systems, providing detailed information on plate numbers, country, bbox labeling and other data as well as corresponding masks for recognition tasks - Get the data
The dataset encompasses plate detection systems, cameras, and character recognition for accurate identification of license plates. LPR systems, including ALPR and ANPR, are utilized for automatic license and number plate detection, with models recognizing characters and identifying vehicles in real time. It supports object detection, recognition algorithms, and LPR cameras, ensuring high accuracy across different regions and environments.
Countries inthe dataset
Ukraine, Lithuania, Serbia, Turkey, Kazakhstan, Latvia, Belarus, Bahrain, Estonia, Uzbekistan, Moldova, Vietnam, Armenia, UAE, Georgia, Brazil, Finland, Azerbaijan, Kyrgyzstan, Egypt, Thailand, Mexico, Argentina, India, KSA, Pakistan, Morocco, Tajikistan, Mongolia, Palestine, Turkmenistan and other countries.
💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at https://unidata.pro to discuss your requirements and pricing options.
Applications range from parking management to security systems, offering real-time data processing and vehicle registration tracking. This comprehensive dataset is ideal for advancing automated systems for plate readers, ALPR technology, and solutions for vehicle registration, security, and enforcement.
Variables in .csv files:
- file_name: filename of the vehicle photo
- license_plate.country: country where the vehicle was captured
- bbox: bounding box coordinates for the vehicle
- license_plate.visibility: visibility of the license plate
- license_plate.id: unique license plate identifier
- license_plate.mask: normalized coordinates of the license plate
- license_plate.rows_count: number of lines on the license plate
- license_plate.number: recognized text on the license plate
- license_plate.serial: series identifier for UAE plates
- license_plate.region: subregion for UAE plates
- license_plate.color: color of the plate code for Saudi Arabia