A recent study published in Geo-spatial Information Science highlights the potential of deep learning in improving underwater coral image segmentation for more efficient and accurate coral reef monitoring. Spearheaded by a team from Wuhan University, the study evaluates various deep learning models and their ability to handle challenges unique to underwater imaging.
