Application of Improved YOLOv3 Algorithm in Mask Recognition

With the influence of novel coronavirus, wearing masks is becoming more and more important If computer vision system is used in public places to detect whether a pedestrian is wearing a mask, it will improve the efficiency of social operation Therefore, a new mask recognition algorithm based on improved yolov3 is proposed Firstly, the dataset is acquired through network video;secondly, the dataset is preprocessed;finally, a new network model is proposed and the activation function of YOLOv3 is changed The average accuracy of the improved YOLOv3 algorithm is 83 79% This method is 1 18% higher than the original YOLOv3 © 2021, Springer Nature Switzerland AG