Computer Vision Pipeline for Automated Antarctic Krill Analysis ...

• Main Authors: Gudelis, Mazvydas, Mackiewicz, Michal, Bremner, Julie, Fielding, Sophie
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: arXiv 2023
• Subjects: Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences; Antarc*; Antarctic; Antarctic Krill; British Antarctic Survey
• Online Access: https://dx.doi.org/10.48550/arxiv.2309.06188; https://arxiv.org/abs/2309.06188

British Antarctic Survey (BAS) researchers launch annual expeditions to the Antarctic in order to estimate Antarctic Krill biomass and assess the change from previous years. These comparisons provide insight into the effects of the current environment on this key component of the marine food chain. In this work we have developed tools for automating the data collection and analysis process, using web-based image annotation tools and deep learning image classification and regression models. We achieve highly accurate krill instance segmentation results with an average 77.28% AP score, as well as separate maturity stage and length estimation of krill specimens with 62.99% accuracy and a 1.96 mm length error respectively. ... : Submitted to MVEO 2023 @ BMVC 2023 ...