2022 Report of Working Group 48 on Towards Best Practices Using Imaging Systems for Monitoring Plankton

This topic intends to draw on applications of deep learning systems in different aspects of marine science, which could facilitate the preparation of our review manuscript on deep learning in marine biology. [...] Adjourn WG 48 Endnote 4 Proposal for special topic in Frontiers in Marine Science Deep learning (DL), mainly composed of deep and complex neural networks such as recurrent networks and convolutional networks, is an emerging research branch in the field of artificial intelligence and machine learning. [...] This research topic aims to expand the applications of marine science to cover all aspects of detection, classification, segmentation, localization, and density estimation of marine objects, organisms, and phenomena. [...] Topics of interest include, but are not limited to: • Best practices for the application of deep learning in marine/underwater object detection/classification of marine organisms (plankton, fish, and coral reef, etc.) and marine environments (trash and debris, etc.). [...] • Deep learning for detection, classification, and segmentation of objects and phenomena in the ocean from the data of remote sensing and drone surveys.