基于改进YOLOv5的路面坑洞检测设计

Design of road pothole detection based on improved YOLOv5

随着道路交通的增加,对于路面检测中目标的准确识别成为了一个重要的研究课题。提出了一种基于改进YOLOv5的目标检测算法,通过优化损失函数来提高路面检测中目标的识别精度。该设计算法对路面坑洞检测准确率达到了89.1%,相较于原始YOLOv5算法提升了7.7个百分点,同时出现漏检现象较少,具有较好的检测精度。结果表明,算法在目标检测任务中取得了较好的效果,准确性和实时性得到较高提升。

With the increase of road traffic,the accurate identification of targets in pavement detection has become an impor-tant research topic.To enhance the recognition accuracy of targets in pavement detection,an improved YOLOv5-based target detec-tion algorithm is proposed in this design,which optimizes the loss function.In comparison to the original YOLOv5 algorithm,com-pared with the original YOLOv5 algorithm,the accuracy of road potholes detection reaches 89.1%surpassing the original YOLOv5 algorithm by a significant margin of 7.7%.At the same time,there were fewer missed detection phenomena,and the design algo-rithm had a good detection accuracy.The proposed algorithm yields excellent outcomes in the object recognition task,as demon-strated by the results,and its precision and real-time performance are enhanced.