RSI Summer School on Computer Vision Methods for Ecology
Profile
RSI Summer School on Computer Vision Methods for Ecology
PI: Pietro Perona
Research Team: Sara Beery, Suzanne Stathatos, and Tarun Sharma
Division of Engineering and Applied Science
Climate Science Initiative
This is an annual, three-week intensive summer school teaching Computer Vision Methods for Ecology, seeking to empower ecologists to accurately and efficiently analyze large image, audio, or video datasets using computer vision.
Hosted at Caltech and supported by the Resnick Sustainability Institute in partnership with the Caltech AI4Science Initiative, and co-sponsored by Microsoft AI for Earth and Amazon AWS.
Our mission is to:
- Teach applied computer vision as a tool for ecological research
- Empower ecologists to build their own computer vision systems
- Grow the interdisciplinary computer vision for ecology community
- Provide access to computational resources
Visit the Summer school website to learn more or to find out how to participate.