Dalhousie University

Published purpose

The project aims to develop new machine learning models, analysis software, and best practices to detect and classify fish by species using combined video and acoustic data from hundreds of underwater cameras. The data is being collected to measure effects of seismic exploration on commercial fishing. This research will support a new research initiative between the National Research Council (NRC) and the Department of Fisheries and Oceans (DFO). DFO will provide data and domain expertise NRC will process video data and develop the necessary tools required to process these large and novel datasets. Dr. Whidden (MUN) and the PhD student (MUN) will provide expertise on machine learning applications to improve video and acoustic data analysis methods specifically tailored and optimized for the field campaign data collected by DFO.