The invention discloses an unmanned aerial vehicle maritime
search and rescue target detection method based on an improved YOLOV8
algorithm, facilitates water
search and rescue deployment when maritime affairs such as drowning or shipwreck occur, and belongs to the field of maritime rescue. Comprising the following steps: a training stage: training a maritime target detection network by using a
training set, training samples in the
training set being collected by an unmanned aerial vehicle, and labels in a
data set comprising drowning persons, motorboats, steamships, life buoys and life-saving equipment (life jackets); the improved YOLOv8-based
network architecture of the marine target detection network comprises a skeleton, a neck and a detection head. According to the method, the problem of low target detection precision caused by small size of a detection object in an
aerial photography scene of the unmanned aerial vehicle can be well solved, the negative influence of
seawater ripples and illumination factors on target detection can be well overcome, and the method is good in real-time performance and high in accuracy.