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# Automatic license plate recognition using YoloV5 and PyTesseract #### To get more hands on, check [this article](https://towardsdatascience.com/indian-car-license-plate-detection-using-yolo-v5-ae2574578175) #### This project is a successor to [this](https://github.com/sid0312/ANPR) #### Refer to our data preparation at [this link](https://github.com/sid0312/ANPR/blob/master/notebooks/data_preparation.ipynb) ### Training ###### For training, refer to [this link](yolov5_license_plate_train.ipynb) ## Train logs <p align="center"> <img src="https://github.com/sid0312/anpr_yolov5/blob/master/visualizations/results.png"> </p> <p align="center"> <img src="https://github.com/sid0312/anpr_yolov5/blob/master/visualizations/labels.png"> </p> ## Validation Results <p align="center"> <img src="https://github.com/sid0312/anpr_yolov5/blob/master/results/test_batch0_gt.jpg"> </p> ## Detection ``` git clone https://github.com/sid0312/anpr_yolov5 cd anpr_yolov5 python detect.py --source sample_cars/ --weights weights/best.pt --conf 0.4 ``` ###### For detection, refer to [this link](anpr_test.ipynb)