APPLYING YOLO V5 MODEL FOR DETECTING LICENSE PLATE
DOI:
https://doi.org/10.59266/houjs.2023.277Keywords:
Yolov5, Yolov2, Yolov3, Faster-RCNN, SVM, License-Plate-RecognitionAbstract
Deep learning is inspired by biological brains, deep learning models build algorithms that help machines think and process information like a human brain. Deep learning models and algorithms have been developed more and more widely and are widely applied to minimize human labour. The article presents the problems related to the Yolov5 model, including the operating principle, using the model to train data from which to recognize license plates and evaluate the model. The results show that the model has high accuracy, proving its feasibility when applied in practice.
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