Image optimization method and optimization system based on YOLOv5 network model

The invention discloses an image optimization method and system based on a YOLOv5 network model, and belongs to the technical field of machine vision and deep learning, and the method comprises the steps: receiving a first image set collected by a collection device, and the first image set comprises at least three types of driver expression pictures; the first image set is preprocessed, preprocessed images are made into a standard data set, and the standard data set comprises a training set, a verification set and a test set; the original YOLOv5 network model is adopted to train the standard data set, and training parameters are adjusted in the training process to improve the training effect; and analyzing a network structure, and carrying out lightweight improvement on a backbone network part of the original YOLOv5 network model. In the implementation process of the technical scheme provided by the invention, the model is subjected to lightweight setting, so that the operation pressure is reduced, and meanwh