Analysis on Applying the Capabilities of Deep Learning Based Method for Underwater Fish Species Classification

Fish species classification is an important part of fish conservation studies. Identifying the fish species from underwater images is a difficult task because of the facts like complexities of environment, high noise in the image and lowillumination. Similarly the number images produced by unmanned underwater equipments are huge so that manual processing will not be suitable. Advances in machine learning field leads to deep learning based networkswhich can effectively extract features without much preprocessing of the image. Deep learning networks can be effectively utilized in marine species classification studies. This study analyses some of the deep learning and computer vision based methods to classify marine species.