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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

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

This labeled dataset released in the publication "PNNL-TUNAMELT: Towards automating the detection of interactions with marine energy devices" consists of 107451 labeled, acoustic camera video frames capturing marine life interactions around an underwater tidal turbine. The video f...
Nowak, T. et al Pacific Northwest National Laboratory
Jun 01, 2025
2 Resources
1 Stars
Awaiting curation

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
2 Resources
1 Stars
Curated

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
6 Resources
0 Stars
Curated