An experimentation project has demonstrated the capabilities of machine learning in urban development. It used images as a starting point and came up with interesting and useful applications.
“I read data science papers on how machine vision algorithms can be used with satellite imagery. I immediately saw a connection to what we had been doing,” Antti Kauppi, architect at Arkkitehdit Sankari, explains. “Most people associate image recognition with Google’s visual searches. Google can distinguish whether a photo shows a cat or another animal, for example. We went a step further.”
An Experiment with Open Urban Imagery
Arkkitehdit Sankari Oy, a Finnish architectural design firm began the experimentation project CityCNN in May 2018. It received funding from KIRA-digi, the Finnish government’s digitalization program for the built environment. CityCNN explored the possibilities of using machine learning and open data for urban development.