The objective of this project is to develop new machine learning models, analysis software, and best practices to detect and classify fish by species using a combination of video and acoustic data, collected as part of collaborative research to measure effects of seismic exploration on commercial fishing. The science tools to conduct this research combines video data (from 100 cameras), acoustic telemetry tracking, and acoustic sonar (ship-board and bottom mounted transducers), as part of before/after/controlled/impact experiments in the Newfoundland offshore.
This project will be completed in partnership with the Department of Fisheries and Oceans (DFO), NRC, and academic and commercial partners. As collaborator on this multi-year project, the NRC will process video data and develop the necessary tools required to analyse those large and novel datasets. This work is important to support ocean industries while ensuring ocean health, resource sustainability, and economic prosperity.