Research On Tire Crack Detection Using Image Deep Learning Method

This study uses three deep learning image classification methods to identify the method with the highest recognition rate. Deep learning technology has achieved excellent results in image recognition and target detection neighborhoods, and the detection and recognition rate of large and complex data is generally higher than that of traditional algorithms. The object detection task can be divided into two key subtasks: object classification and object localization. The self-learning ability of deep convolutional neural network is used to learn image features and classifiers, and image feature extraction and classifier learning are integrated.