Design of road pothole detection based on improved YOLOv5
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.
object detectionoptimized loss functionroad surface detectionimprove YOLOv5
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