The aim of this project is to create a pipeline with two models to detect and recognize car plates. The first model is able to detect the car plate in an image and the second model is able to recognize the characters in the car plate. Theses models are finetunned Yolov8.
To train theses two models I used two differents dataset.
Dataset for the Location Model : Car Plate Detection - YoloV8
Dataset for the Digits Model : Persian Plates Digits Detection - YoloV8
The configuration file is config.yaml
Install all dependensies
pip install -r requirements.txt
To process an image you can use this command
python main.py path_to_your_image