The existing target detection network often has the problems of complex structure and huge parameters.Therefore,it is difficult to study the high-precision target detection algorithm with simple structure and a few parameters.As a representative single-stage target detection algorithm in the era of Deep Learning,YOLO series algorithms have the characteristics of accuracy,high efficiency and easy deployment,which provides a very good theoretical and technical basis for target detection.Therefore,this paper improves its convolutional network based on YOLOv8 and successfully improves the detection accuracy.