Merging AI and underwater photography to reveal hidden ocean worlds
SMRTR summary
Beneath the waves of the Gulf of Maine, a revolutionary project is merging art and artificial intelligence to capture the region's rich marine life. LOBSTgER, led by underwater photographer Keith Ellenbogen and MIT PhD student Andreas Mentzelopoulos, trains AI models on thousands of real underwater photographs to generate stunningly accurate images of ocean creatures.
"Getting a high-quality dataset is not easy," Ellenbogen says. "It requires multiple dives, missed opportunities, and unpredictable conditions."
The Gulf of Maine, warming faster than 99 percent of the world's oceans, faces rapid environmental changes. LOBSTgER aims to document this vulnerable ecosystem in new ways, expanding scientific storytelling through AI-enhanced imagery of jellyfish, sharks, and rare sunfish.
By blending field photography with machine learning, the team hopes to make "the invisible visible," revealing hidden aspects of marine life and inspiring greater public engagement with ocean conservation efforts.
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