Automating the assessment of biofouling in images using expert agreement as a gold standard.

ABSTRACT: Biofouling is the accumulation of organisms on surfaces immersed in water. It is of particular concern to the international shipping industry because it increases fuel costs and presents a biosecurity risk by providing a pathway for non-indigenous marine species to establish in new areas. There is growing interest within jurisdictions to strengthen biofouling risk-management regulations, but it is expensive to conduct in-water inspections and assess the collected data to determine the biofouling state of vessel hulls. Machine learning is well suited to tackle the latter challenge, and here we apply deep learning to automate the classification of images from in-water inspections to identify the presence and severity of fouling. We combined several datasets to obtain over 10,000 images colle

SUBMITTER: Bloomfield NJ 

PROVIDER: S-EPMC7854599 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature