Automatic Pavement Disease Identification Research Based on YOLOX-EfficientNet Model
Based on the YOLOX model,this paper,based on the picture database of road diseases on some sections of G320,integrated the EfficientNet network to establish a complete data set,analyzed the causes and characteristics of various road diseases,and used Labelimg annotation software to locate and classify the diseases on the pictures in the data set. A complete dataset for model training and testing was thus established,and the YOLOX-EfficientNet model based on convolutional networks was efficientNet to identify,classify and locate pavement diseases. The Efficient network optimizes the YOLOX model from many aspects to improve the detection accuracy of the YOLOX model.
万方数据
维普
