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

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 …

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 …

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

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 …

Morphological based fish species identification is an erroneous and time-consuming
process. There are numerous fish species and due to their close resemblance with each …

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 …

The visibility of fishes and invertebrates is highly impacted by the complexity of the
environment. Images acquired in underwater environments suffer from blurriness and low …

Traditional fish image classification process is complex and cumbersome, and traditional
classification is lack in accuracy. Using convolutional neural networks to identify fish …

Fish image classification tool is important in the field of ichthyology. In this paper, we present
a fish image classification benchmark comparison across different types of convolutional …