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 1.98mm length error respectively.

翻译：英国南极调查局（BAS）研究人员每年开展南极考察，以估算南极磷虾的生物量并评估其与前几年的变化。这些对比为当前环境对海洋食物链中这一关键组成部分的影响提供了重要见解。本研究利用基于网络的图像标注工具及深度学习图像分类与回归模型，开发了自动化数据采集与分析流程。我们实现了高精度的磷虾实例分割结果，平均AP分数达77.28%，同时分别以62.99%的准确率和1.98毫米的长度误差完成了磷虾标本成熟阶段分类与体长估算。