WATCH: Computer Vision - Foundations for Energy Data Analytics

Dive into this foundational talk on how computer vision turns images into information. The talk by Dr. Kyle Bradbury introduces common problems in the space: image classification, segmentation, and object detection. Bradbury explains how computer vision techniques can be applied to remotely sensed data to derive insights about energy systems. He also discusses how to get started in this space, noting tools and resources that can help you explore further.

Part of the Foundations for Energy Data Analytics Series. This talk was originally presented during a workshop of the Energy Data Analytics Ph.D. Student Fellows Program, organized by the Energy Data Analytics Lab at Duke University. The Fellows Program is funded by a grant from the Alfred P. Sloan Foundation, Grant-G2020-13922.
(Note: Conclusions reached or positions taken by researchers or other grantees represent the views of the grantees themselves and not those of the Alfred P. Sloan Foundation or its trustees, officers, or staff).