Personalized Aesthetics: Recording the Visual Mind using Machine Learning Parallel Forall

Visual aesthetics are very personal, often subconscious, and hard to express. In a world with an overload of photographic content, a lot of time and effort is spent manually curating photographs, and it's often hard to separate the good images from the visual noise. The question we put forward at EyeEm is: can a machine learn personalized aesthetics embodied in a set of chosen photos, and recreate them in a different set? The incapacity to name is a good symptom of disturbance. Does this photograph draw your attention?