Keywords: citizen science, ocean conservation, machine learning, education
Video footage from animal-borne cameras offers a powerful window into the underwater world, yet much of it remains unseen by the public and time-intensive for scientists to analyze. Our project will create a citizen science platform where local community members can help label footage from animal-mounted cameras and camera traps in Costa Rica. This effort will engage the public in ocean science and provide educational opportunities for local students while generating training data to develop machine learning models that efficiently process key imagery for marine research and conservation.
Skillset needs: Some skillsets that would be helpful are PR, web development, communications, education, oceans/engineering background - but excited to work with anyone interested!
Contact: Daviana Berkowitz-Sklar