About us
Team Goal
Machine learning approaches using satellite imagery provide accessible ways to infer socioeconomic measures without visiting a region. From previous research [1,2], our team has proven that computer vision models effectively analyze socioeconomic status. We are now looking for the next-level of application of our methodology, involving contributions to global problems such as climate change.
[1] Lightweight and robust representation of economic scales from satellite imagery (AAAI-20)
[2] Learning to score economic development from satellite imagery (SIGKDD2020)