High-resolution density assessment assisted by deep learning of (Lamarck, 1816) and (Linnaeus, 1767) in rocky circalittoral shelf of Bay of Biscay.

This study presents a novel approach to high-resolution density distribution mapping of two key species of the 1170 "Reefs" habitat, and , in the Bay of Biscay using deep learning models. The main objective of this study was to establish a pipeline based on deep learning models to extract species density data from raw images obtained by a remotely operated towed vehicle (ROTV). Different object detection models were evaluated and compared in various shelf zones at the head of submarine canyon systems using metrics such as precision, recall, and F1 score.