Research on side-scan sonar target detection technology based on improved yolov5

In recent years, the target detection of side-scan sonar image is an important part of underwater target search, ocean mapping and Marine geological detection, so improving the target detection accuracy of sonar image is of great significance for underwater detection. Aiming at the low target detection accuracy of side-scan sonar images, this paper conducted a target detection test on side-scan sonar image data based on Yolov5 algorithm, used existing side-scan sonar equipment to collect sidescan sonar images to build side-scan sonar data set, and used Yolov5 algorithm to study its target detection technology. The experimental results show that the method can detect the target image with high precision, and the target detection accuracy reaches 98.6%, which can complete the target detection task of underwater specific target with high precision and all-round in the actual hydrological environment.