Marine scientists use remote underwater image and video recording to survey fish species
in their natural habitats. This helps them get a step closer towards understanding and …

Marine ecosystems and their fish habitats are becoming increasingly important due to their
integral role in providing a valuable food source and conservation outcomes. Due to their …

Underwater video and digital still cameras are rapidly being adopted by marine scientists
and managers as a tool for non‐destructively quantifying and measuring the relative …

Visual analysis of complex fish habitats is an important step towards sustainable fisheries for
human consumption and environmental protection. Deep Learning methods have shown …

Machine-assisted object detection and classification of fish species from Baited Remote
Underwater Video Station (BRUVS) surveys using deep learning algorithms presents an …

There is a need for automatic systems that can reliably detect, track and classify fish and
other marine species in underwater videos without human intervention. Conventional …

Identifying and counting fish individuals on photos and videos is a crucial task to cost-
effectively monitor marine biodiversity, yet it remains difficult and time-consuming. In this …

The ocean is an important ecosystem, and aquatic animals play an important role in the
biological world, especially in aquaculture. How to accurately and intelligently recognise …

Deep learning networks have become increasingly popular in recent years due to promising
breakthroughs achieved in several areas. The importance of deep learning lies in the …

Automatic classification of different species of fish is important for the comprehension of
marine ecology, fish behaviour analysis, aquaculture management, and fish health …