University of Delaware
With global oyster populations having plummeted by more than 85% from historical levels, researchers are feeling a sense of urgency to restore and monitor these critical marine ecosystems. But traditional methods of oyster reef monitoring often involve destructive sampling and extensive manual labor. A new study published in Frontiers in Robotics and AI explores whether artificial intelligence could serve as a safer and more effective tool.
The deep learning model, ODYSSEE, was trained to identify live oysters from underwater imagery. Researchers used real and synthetically generated images and pitted the model against both expert and non-expert human annotators to evaluate its accuracy and speed.
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