Runoi/ANPR-System
High-accuracy Russian ANPR system built with YOLOv8 for detection and an optimized, custom-trained PyTorch CRNN for OCR.
This system helps identify and read Russian vehicle license plates from images or live video feeds. It takes any image or video containing Russian license plates as input and outputs the recognized plate numbers. It's designed for anyone needing to automate the identification of vehicles based on their license plates, such as security personnel, traffic analysts, or parking managers.
Use this if you need a highly accurate and efficient way to automatically read Russian license plates from diverse visual sources, including those captured at angles or in video streams.
Not ideal if your primary need is to recognize license plates from countries other than Russia or if you require real-time processing on very low-power embedded devices without CPU optimization.
Stars
20
Forks
9
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 22, 2025
Commits (30d)
0
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