Fish Classification

Fish classification research focuses on developing automated systems for identifying fish species, primarily using computer vision and deep learning techniques. Current efforts leverage lightweight, mobile-deployable architectures like MobileNet and its variants, trained on large datasets of fish images, to achieve high accuracy in species identification and size estimation. These advancements are crucial for sustainable fisheries management, enabling efficient monitoring of fish stocks, informing conservation efforts, and supporting responsible seafood production.