IA-2026-0112
Development and testing of artificial intelligence and machine learning to analyze underwater photo and video data to assess marine impacts and resources
Pilot Ecosystems and Oceans Science
Description of the initiative
This completed project (2020/21) aimed to utilize machine learning and imaging technology in fisheries science. The proponent planned to use Video and Image Analytics for Marine Environments (VIAME), an open-source system developed by NOAA, for two specific purposes: 1. Measure the movement of Atlantic cod across boundaries at the Gilbert Bay Marine Protected Area in Newfoundland and Labrador. 2. Assess the impact of seismic surveying on Atlantic cod as part of a project funded by the Environmental Studies Research Fund (ESRF). The automatic detection and count of fish near MPA boundaries was expected to reduce use of personnel time and effort.
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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