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Fish Detection AI, Optic and Sonar-trained Object Detection 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 ...

Slater, K. et al Water Power Technology Office

Jun 25, 2014
12 Resources
0 Stars
Curated

TEAMER: Field Demonstration of MarineSitu Marine Energy Monitoring Tools (Public)

This submission contains data collected during a four-month field demonstration (July-October 2024) of MarineSitu's Adaptable Monitoring Package (AMP) at the Pacific Northwest National Laboratory (PNNL) Marine and Coastal Research Laboratory (MCRL) in Sequim, WA. The project evalu...

Joslin, J. et al MarineSitu

Aug 21, 2026
6 Resources
0 Stars
Curated

TEAMER: Underwater Target Detection Software Demonstration on the RivGen Turbine

This repository includes data, object detection models, and processing scripts necessary to evaluate the accuracy of the object detection models created for the underwater target detection software demonstration on the RivGen turbine project and to reproduce the performance metric...

Joslin, J. et al MarineSitu

Dec 17, 2024
4 Resources
1 Stars
Curated

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

Gutstein, S. et al Water Power Technology Office

Aug 25, 2024
6 Resources
0 Stars
Curated

TEAMER: Field Demonstration of MarineSitu Marine Energy Monitoring Tools

Murphy, P. et al MarineSitu

Jul 01, 2024
10 Resources
0 Stars
Curated

The PNNL-TUNAMELT Dataset for Automated Detection Around Marine Energy Devices

This labeled dataset contains 107,451 acoustic camera video frames capturing marine life interactions around an underwater tidal turbine. Each frame is annotated with bounding boxes identifying marine life objects as labeled by a fish biologist. Created to support research into au...

Nowak, T. et al Pacific Northwest National Laboratory

Jun 01, 2025
4 Resources
1 Stars
Curated

TEAMER: Weekly Reports for Environmental Monitoring and Data Analysis around a Tidal Energy Converter in Sequim Bay, WA

This dataset includes weekly reports pertaining to the Turbine Lander and Lander Adaptable Monitoring Package (LAMP) deployments in Sequim Bay, WA (2023-2024). Optical and sonar images and videos pertaining to all identified events of interest have been uploaded to a separate MH...

Murphy, P. et al MarineSitu

Jul 22, 2025
3 Resources
0 Stars
Curated

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
6 Resources
0 Stars
Curated