TRAFFIC SIGN RECOGNITION USING DEEP LEARNING ALGORITHMS
Keywords:
Traffic signs, YOLO, pattern recognition, neural network, deep learning, imagesAbstract
This paper explores the neural network architecture of traffic sign recognition. The YOLO model based on deep learning is used to recognize traffic signs in order to implement safety. In the study, processes such as pre-processing of images, object detection and classification are widely covered. According to the results of the study, the accuracy of traffic sign recognition was increased by 3.9% using the improved neural network model. This method is effective in different weather conditions and is important in preventing traffic accidents.
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