  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.
