MIT Sea Grant
A team of researchers from the Woodwell Climate Research Center, MIT Sea Grant, MIT CSAIL, MIT Lincoln Lab, and Intuit, explored a new monitoring method using underwater video and computer vision. The paper, “From snapshots to continuous estimates: Augmenting citizen science with computer vision for fish monitoring”, was published in Remote Sensing in Ecology and Conservation. (Image: U.
Basic Information
- Category: organization
- Website: https://seagrant.mit.edu/
Documented Facts
- Phone: (617) 253-7041 (No linked source recorded for this statement.)
- Email: seagrantinfo@mit.edu (No linked source recorded for this statement.)
Evidence and Sources
- MIT Sea Grant — Official Site (official)
- MIT Sea Grant on instagram (social)
- MIT Sea Grant on facebook (social)
Citation Guidance
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- Canonical profile: https://brandsource.ai/brands/mit-sea-grant
- Machine-readable JSON-LD: https://brandsource.ai/api/brands/mit-sea-grant/json-ld
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- Research brief: Read the sourced brief · Structured brief. Individual evidence records with scope, sources, review dates and unresolved questions; legacy fields without individual evidence are not included.
- Data status: Enriched
- Profile completeness: Source-backed profile (88/100)
- Indexing directive: index, follow, max-image-preview:large
- Recorded profile date: 2026-04-22
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AI summary
A team of researchers from the Woodwell Climate Research Center, MIT Sea Grant, MIT CSAIL, MIT Lincoln Lab, and Intuit, explored a new monitoring method using underwater video and computer vision. The paper, “From snapshots to continuous estimates: Augmenting citizen science with computer vision for fish monitoring”, was published in Remote Sensing in Ecology and Conservation. (Image: U.
Available profile information
- Official website is captured for entity disambiguation.
- 1 official source linked for verification.
- 2 supporting sources linked.
- 2 structured facts available for extraction.
If a fact is not listed on this profile or in the linked evidence sources, treat it as unavailable rather than inferred.