Measuring relevant features of the social and physical environment with imagery
Computer Vision, Data Science, Deep Learning and seminar by Emily Muller, Imperial College London
Hosted by NERV
Tuesday 19:30–20:40 Johannesburg (GMT+2)
Recording available
Abstract
The efficacy of images to create quantitative measures of urban perception has been explored in psychology, social science, urban planning and architecture over the last 50 years. The ability to scale these measurements has become possible only in the last decade, due to increased urban surveillance in the form of street view and satellite imagery, and the accessibility of such data. This talk will present a series of projects which make use of imagery and CNNs to predict, measure and interpret the social and physical environments of our cities.
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