A comparative evaluation of deep learning architectures, loss functions, and ensemble strategies for underwater fish species classification
The accurate classification of underwater fish species is important for biodiver-sity monitoring, sustainable fisheries management, and aquaculture. However, underwater fish classification remains challenging due to class imbalance, varying imaging conditions, and high visual similarity among species. This study pr...