VI seminar 2021 #2 - Marine acoustic classification

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Marine Acoustic Classification: Supervised Semantic Segmentation of Echosounder Data using CNNs

Presenter: Olav Brautaset, Norwegian Computing Centre


In fisheries acoustics, echo sounding is applied to detect fish and other marine objects in the ocean; a central tool for stock assessments and establishing fishing quotas. Fish detection and species classification from echo sounder data is typically a manual process. In our work, we automate this process by training a convolutional neural network for semantic segmentation using supervised learning. The talk will describe the data, the CNN-approach used for segmentation – as well as issues related to the training data, such as the quality of annotations when used in a machine learning setting.

Senior Research Scientist at Norwegian Computing Centre, Olav Brautaset.

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