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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
6 Resources
0 Stars
In progress

Fish Detection AI, optic and sonar-trained object detection models

Slater, K. et al Water Power Technology Office

Jun 25, 2014
12 Resources
0 Stars
In progress

Tidal Resource Data from Sequim Bay Inlet, WA, August 2020

Data from a Nortek Signature1000 deployed on a lander for 14 days in Aug 2020 in the entrance to Sequim Bay, WA. Raw data were processed using the DOLfYN python package and standardized using the ME Data Pipeline python package, tsdat version 0.2.12. Processed data were partitione...

McVey, J. and Cavagnaro, R. Pacific Northwest National Laboratory

Aug 13, 2020
18 Resources
1 Stars
Publicly accessible

BOBr Raw Breaking Wave Data, Agate Beach, OR

Raw data from the BOBr (Buoy to Observe Breaking) wave measurement buoy. Data was recorded off the coast of Newport, OR at Agate Beach, in the surf zone.

C, A. Oregon State University

Oct 31, 2013
12 Resources
0 Stars
Publicly accessible

BOBr Processed Breaking Wave Data, Agate Beach, OR

This data was recorded by the BOBr (Buoy to Observe Breaking) off the coast of Newport, OR at Agate Beach in the surf zone. The data was recorded by a 9dof inertial measurement unit and consists of a timestamp, quaternion orientation, acceleration vector, rotation vector, and mag...