Method for constructing driver safety belt recognition model based on YOLOv5s

The invention discloses a method for constructing a driver safety belt recognition model based on YOLOv5s, and belongs to the technical field of computer vision. The method comprises the steps that training data and verification data are labeled through a labeling tool, and a training data set and a verification data set are obtained respectively; according to the training data set and the training parameters, performing model training on a driver safety belt identification model to obtain candidate weights; and evaluating and quantifying the candidate weight according to the verification data set to obtain a target weight, and updating the candidate weight by using the target weight to complete construction of the driver safety belt recognition model. According to the method for constructing the driver safety belt recognition model based on YOLOv5s, a target detection method based on deep learning is introduced into the technical field of driver safety detection, and the method has the advantages of being si