Image dataset for benchmarking automated fish detection and classification algorithms

M Francescangeli, S Marini, E Martínez, J Del Río… - Scientific data, 2023‏ - nature.com
Multiparametric video-cabled marine observatories are becoming strategic to monitor
remotely and in real-time the marine ecosystem. Those platforms can achieve continuous …

Integrating diel vertical migrations of bioluminescent deep scattering layers into monitoring programs

D Chatzievangelou, N Bahamon, S Martini… - Frontiers in Marine …, 2021‏ - frontiersin.org
The deep sea (ie,> 200 m depth) is a highly dynamic environment where benthic
ecosystems are functionally and ecologically connected with the overlying water column and …

Framing cutting-edge integrative deep-sea biodiversity monitoring via environmental DNA and optoacoustic augmented infrastructures

S Stefanni, L Mirimin, D Stanković… - Frontiers in marine …, 2022‏ - frontiersin.org
Deep-sea ecosystems are reservoirs of biodiversity that are largely unexplored, but their
exploration and biodiscovery are becoming a reality thanks to biotechnological advances …

Deep learning based deep-sea automatic image enhancement and animal species classification

V Lopez-Vazquez, JM Lopez-Guede… - Journal of Big Data, 2023‏ - Springer
The automatic classification of marine species based on images is a challenging task for
which multiple solutions have been increasingly provided in the past two decades. Oceans …

Machine learning applied to big data from marine cabled observatories: A case study of sablefish monitoring in the NE Pacific

F Bonofiglio, FC De Leo, C Yee… - Frontiers in Marine …, 2022‏ - frontiersin.org
Ocean observatories collect large volumes of video data, with some data archives now
spanning well over a few decades, and bringing the challenges of analytical capacity …

A low-cost, long-term underwater camera trap network coupled with deep residual learning image analysis

SM Bilodeau, AWH Schwartz, B Xu, V Paúl Pauca… - Plos one, 2022‏ - journals.plos.org
Understanding long-term trends in marine ecosystems requires accurate and repeatable
counts of fishes and other aquatic organisms on spatial and temporal scales that are difficult …

Long‐term automated visual monitoring of Antarctic benthic fauna

S Marini, F Bonofiglio, LP Corgnati… - Methods in Ecology …, 2022‏ - Wiley Online Library
The rapid changes in the climate of Antarctica are likely to pose challenges to living
communities, which makes monitoring of Antarctic fauna an urgent necessity. Benthos is …

Phenology in the deep sea: seasonal and tidal feeding rhythms in a keystone octocoral

F Girard, SY Litvin, A Sherman… - … of the Royal …, 2022‏ - royalsocietypublishing.org
Biological rhythms are widely known in terrestrial and marine systems, where the behaviour
or function of organisms may be tuned to environmental variation over periods from minutes …

Underwater Animal Identification and Classification Using a Hybrid Classical-Quantum algorithm

SC Pravin, G Rohith, V Kiruthika, E Manikandan… - IEEE …, 2023‏ - ieeexplore.ieee.org
Underwater Animal Identification and Classification is gaining significant importance in
recent times due to the growing demand for ecological surveillance and biodiversity …