IA-2026-0116
Use of artificial intelligence models to facilitate seafloor video annotations in conservation areas.
Pilot Ecosystems and Oceans Science
Description of the initiative
The purpose of this initiative is to utilize AI to facilitate seafloor video annotations collected as part of the MCT and Benthic Ecology programs in the NL Region. A large number of vidEcosystems and Oceans Science is collected annually, and manual video annotation (e.g., locating and counting observations) is extremely time-consuming. A published “object detection model” (FathomNet Megalodon Detector, YOLOv8x) trained using marine taxa by MBARI is currently being used to identify objects in our seafloor images. The model does not identify the objects (e.g., to species), but it largely accelerates the process given that locating objects is the most time-consuming part of the work.
Strategic alignment
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Contacts
- Subject matter expert
- Winegardner, Amanda
Lifecycle
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Ideation
Stage status : Completed
August 28, 2026 August 28, 2026
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Assessment
Stage status : Not applicable
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Approved
Stage status : Not applicable
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Development
Stage status : Not applicable
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Pilot
Stage status : In progress
August 28, 2026
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Production
Stage status : Upcoming
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Archived
Stage status : Upcoming
Schedule for this initiative
- Completed
- In progress
- Planned
- Not applicable
- Today
Change log (12 entries)
Public history of this initiative's key events. The team's internal exchanges are not shown.
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