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Fish Detection AI, sonar image-trained detection, counting, tracking models

The Fish Detection AI project aims to improve the efficiency of fish monitoring around marine energy facilities to comply with regulatory requirements. Despite advancements in computer vision, there is limited focus on sonar images, identifying small fish with unlabeled data, and ...

Gutstein, S. et al Water Power Technology Office

Aug 25, 2024
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Turbine Lander Deployment in Sequim Bay (2023-2024): Optical and Sonar Records of Animal Interactions

This dataset contains environmental monitoring data collected during the deployment of the Turbine Lander, a small-scale vertical-axis, cross-flow turbine (1.19 m x 0.85 m) in the inlet to Sequim Bay, Washington. The turbine was deployed for 141 days between October 2023 and March...

Bassett, C. and Cotter, E. University of Washington Applied Physics Laboratory

Mar 07, 2024
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Fish Detection AI, sonar image-trained detection, counting, tracking models

Turbine Lander Deployment in Sequim Bay (2023-2024): Optical and Sonar Records of Animal Interactions