Workshop on Computer Vision Methods for Ecology

Caltech Resnick Sustainability Institute

A three-week intensive program 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, the NSF Global Climate Center on AI and Biodiversity Change, and EleutherAI along with with data sponsorship from Planet. Past support provided by Microsoft AI for Earth, Amazon AWS, and Wild Me.

Our Mission

Teach Applied CV as a tool for Ecological Research

Provide instruction and tools for an accessible introduction to applied Computer Vision, with the contextual framing of ecological research needs.

Empower ecologists to build their own CV-based systems

Democratize Computer Vision and increase the accessibility and scalability of computer-vision-based solutions to natural world questions

Grow the interdisciplinary CV for Ecology community

Provide a central hub for the exchange of ideas and best practices, where expert ecologists and expert computer vision scientists can work together to face real-world challenges in conservation and sustainability

Provide access to computational resources

Cloud credits to store data, collect annotations, train models, and host solutions are provided by Microsoft AI for Earth and Amazon AWS. Each student will be awarded $2.5K in credits to help take their project from research idea to reality.