truthofmatthew/persian-license-plate-recognition
A computer vision system using YOLOv5 and custom deep learning models to detect and recognize Persian license plates in images and video streams.
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The system leverages YOLOv5 object detection models for high-accuracy license plate localization and custom-trained models for recognizing Persian characters on detected plates. It processes live video feeds in real-time and provides a graphical interface for traffic monitoring and vehicle identification applications.
Frequently asked
- What is truthofmatthew/persian-license-plate-recognition?
- A computer vision system using YOLOv5 and custom deep learning models to detect and recognize Persian license plates in images and video streams.
- Is persian-license-plate-recognition open source?
- Yes — truthofmatthew/persian-license-plate-recognition is open source, released under the GPL-3.0 license.
- What language is persian-license-plate-recognition written in?
- truthofmatthew/persian-license-plate-recognition is primarily written in Python.
- How popular is persian-license-plate-recognition?
- truthofmatthew/persian-license-plate-recognition has 448 stars on GitHub.
- Where can I find persian-license-plate-recognition?
- truthofmatthew/persian-license-plate-recognition is on GitHub at https://github.com/truthofmatthew/persian-license-plate-recognition.