湖北汽车工业学院学报2023，Vol.37Issue(4)：17-21,5.DOI:10.3969/j.issn.1008-5483.2023.04.004
基于改进YOLOv5的小目标交通标志检测算法
Small Target Traffic Sign Detection Algorithm Based on Improved YOLOv5
摘要
Abstract
In order to improve the low detection accuracy of small target traffic signs,a small target traf-fic sign detection algorithm based on improved YOLOv5 was proposed.The backbone network structure of YOLOv5 was optimized,and the original large target detection layer was replaced with a small target detection layer.In addition,the down-sampling factor was adjusted,and the MobileViT Block module was integrated into the neck network.Then,the dataset was processed using offline enhancement and online enhancement methods.The experimental results show that compared with other target detection algorithms,the average accuracy of the improved algorithm for small target traffic sign detection is 85.3%;the parameter quantity is reduced by 39%,and the FPS is 70.Therefore,it meets the require-ments of real-time detection.关键词
交通标志检测/YOLOv5/MobileVit Block/小目标检测Key words
traffic sign detection/YOLOv5/MobileVit Block/small target detection分类
交通工程引用本文复制引用
徐鑫,方凯..基于改进YOLOv5的小目标交通标志检测算法[J].湖北汽车工业学院学报,2023,37(4):17-21,5.基金项目
湖北省教育厅科学技术研究项目(D20201802) （D20201802）
教育部产学研合作协同育人项目(202002009056) （202002009056）
