An improved YOLOv5s model is proposed to address the complex urban traffic environment,as well as the issues of missed detection,false detection,and low accuracy in pedestrian and vehicle detection results.The improved model adopts the EIoU loss func-tion and introduces the FocalEIoU loss function.Finally,the effectiveness of the improved algorithm is tested by selecting the PASCAL VOC dataset.The final experimental results show that the improved YOLOv5s algorithm improves mAP by about 4%and also improves detection accuracy,verifying the effectiveness of this study.
关键词
YOLOv5s/图像处理/目标检测/行人车辆检测
Key words
YOLOv5s/image processing/object detection/pedestrian and vehicle detection
维普
万方数据