Mesopelagic crustacean habitat identification and analysis using deep learning

Abstract

This paper presents a software infrastructure based on Deep Learning aimed at identifying habitats of certain species of crustacean that colonize areas of the marine Mesopelagic zone. Determining their presense is done, in this case, from the detection of holes in the sand that form sets of burrow structures. Preliminar inferencing models are obtained from images captured in the North Sea by trawled UWTV (undewater TV) stations, offering quite significant detection success ratios.