Computer Vision Methods for Ecology. 9 credits

Catalog description

This 3-week, residential, professional course will teach participants the rudiments of computer vision and how to train and evaluate computer vision models on their own data to help answer specific ecological research questions. The workshop is built on four key objectives: (1) Teach applied computer vision (CV) as a tool for ecological research by providing instruction and tools specifically designed for ecologists, built around real ecological data. (2) Empower ecologists to build their own CV-based systems by building intuition, skills and confidence by having them work with their own data. (3) Grow the CV-for-Ecology community, a hub where expert ecologists and leading CV scientists can exchange ideas and best practices to address real-world challenges in conservation and sustainability. (4) Provide necessary computational resources to store data, collect annotations, train models, and host solutions during the school. Students will leave with a working tool, a grasp of the underly Offered by Provost's Office . May not be repeated for credit.