Underwater fish species recognition has gained importance due to the emerging researches
in marine science. Automating the fish species identification using technology would help …

Recently, underwater videos have gained great interest by marine ecologists for studying
fish populations. Actually, this technique produces large amount of visual data and does not …

Fish species classification in underwater images is an emerging research area for scientists
and researchers in the field of image processing. Fish species classification in underwater …

Fishes are the one of the most important group of cold blooded vertebrates. They have great
nutritional, economical, medicinal and industrial importance. Fish provides many nutrients …

Studying fish recognition has important realistic and theoretical significance to aquaculture
and marine biology. Fish recognition is challenging problem because of distortion, overlap …

Machine learning techniques enable systems to learn Important representations from input
Image data. Convolutional neural networks (CNNs) are a specific implementation of …

Fish species classifiction is an important task for biologists and marine ecologists to
frequently estimate the relative abundance of fish species in their natural habitats and …

Conservation and protection of fish species is very important in aquaculture and marine
biology. A few studies have introduced the concept of fish recognition; however, it resulted in …

In this paper, we presented an automated system for identification and classification of fish
species. It helps the marine biologists to have greater understanding of the fish species and …

Classification is one of the primary data science tasks involving large datasets. To date, fish
species classification in the Philippines is considered significant for further aquaculture and …