In this talk, I will explore the captivating journey of using computer vision to train computers to recognise and evaluate beauty in various environments.

By leveraging deep learning techniques and vast online datasets, we have developed a model that can identify and measure aesthetic qualities traditionally thought to be subjective. This process involves teaching neural networks to discern patterns and features associated with scenic beauty, challenging the notion that aesthetics are uniquely human.

Join me as we uncover the methodology behind this research and discuss how we plan to use it to help people connect with beauty around them, wherever they are in the world.