基于YOLOv3的口罩佩戴检测研究

Study on mask wearing detection based on YOLOv3

本文将提供一种基于YOLOv3模型的深度学习口罩佩戴识别方法.对目标检测算法以及YOLOv3模型进行介绍,训练后模型检测的精确度达到77.53%,满足了在多数场合下人员口罩佩戴的需求,达到了实时监督的目的,为口罩佩戴检测方向提供了技术支持.

This paper will provide a deep learning mask wearing recognition method based on YOLOv3 model.The target detection algorithm and YOLOv3 model were introduced.After training,the detection accuracy of the model reached 77.53%,which met the needs of mask wearing on most occasions,achieved the purpose of real-time supervision,and provided technical support for mask wearing detection direction.