You Only Look Once (YOLO) algorithm is a representative target detection algorithm emerging in 2016, which is known for its balance of computing speed and accuracy, and now plays an important role in various fields of human production and life. However, there are still many limitations in the application of YOLO algorithm in underwater environments due to problems such as dim light and turbid water. With limited land area resources, the ocean must have great potential for future human development. In this paper, starting from the actual needs of marine engineering applications, taking underwater structural health monitoring (SHM) and underwater biological detection as examples, we propose improved methods for the application of underwater YOLO algorithms, and point out the problems that still exist.

翻译：You Only Look Once(YOLO)算法是2016年兴起的一种具有代表性的目标检测算法，以其计算速度与精度的平衡而著称，目前已在人类生产生活的各个领域发挥重要作用。然而，由于水下环境存在光线昏暗、水体浑浊等问题，YOLO算法在其中的应用仍面临诸多局限。在陆地资源有限的情况下，海洋必然对人类未来发展具有巨大潜力。本文从海洋工程应用的实际需求出发，以水下结构健康监测（SHM）和水下生物检测为例，提出了适用于水下环境的YOLO算法改进方法，并指出了当前仍存在的问题。