Efficient tuna detection and counting with improved YOLOv8 and ByteTrack in pelagic fisheries
Accurate estimation of tuna catch is crucial for effective pelagic fishery management and resource conservation.However, existing manual counting methods suffer from issues such as low accuracy and poor timeliness, highlighting the urgent need for an efficient and automated solution.This paper proposes an automatic tuna counting method based on the