Nordic Machine Intelligence 2022-06-03T11:03:29+02:00 Anne Håkansson Open Journal Systems <p>Nordic Machine Intelligence (NMI) is a non-commercial, open-access , peer-reviewed journal and thus qualifies to be a diamond open-access journal. The journal publishes original research articles, literature reviews, conference articles related to NORA's Norwegian and Nordic conferences, articles related to the <a href="">NMI Challenge</a>, statements and other educational material within all aspects of artificial intelligence.</p> Hierarchical Object Detection applied to Fish Species 2022-05-19T17:07:31+02:00 Dr. Aditya Gupta Espen Stausland Kalhagen Ørjan Langøy Olsen Morten Goodwin <p>Gathering information of aquatic life is often based on timeconsuming<br />methods utilizing video feeds. It would be beneficial<br />to capture more information cost-effectively from video feeds.<br />Video based object detection has an ability to achieve this.<br />Recent research has shown promising results with the use of<br />YOLO for object detection of fish. As underwater conditions<br />can be difficult and thus fish species are hard to discriminate.<br />This study proposes a hierarchical structure-based YOLO Fish<br />algorithm in both the classification and the dataset to gain<br />valuable information. With the use of hierarchical classification<br />and other techniques. YOLO Fish is a state-of-the-art object<br />detector on Nordic fish species, with an mAP of 91.8%. The<br />algorithm has an inference time of 26.4 ms, fast enough to<br />run on real-time video on the high-end GPU Tesla V100.</p> 2022-06-03T00:00:00+02:00 Copyright (c) 2022 Nordic Machine Intelligence