Automated Freshwater Fish Species Classification using Deep CNN

ABSTRACT: Freshwater fish is considered a poor man’s protein supplement as they are easily available in lakes, rivers, natural ponds, paddy fields, beels, and fisheries. There are various freshwater fish species that resemble each other, making it difficult to classify them by their external appearance. Manual fish species identification always needs expertise and so, is erroneous. Recently, computer vision along with deep learning plays a significant role in underwater species classification research where the number of species under investigation is always limited to a maximum of eight (8). In this article, we choose deep-learning architectures, AlexNet and Resnet-50, to classify 20 indigenous fresh-water fish species from the North-Eastern parts of India. The two models are fine-tuned for trainin

SUBMITTER: Deka J 

PROVIDER: S-EPMC10119539 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature