Predicting the perceived safety of one million streetscapes

StreetScore is an algorithm that assigns a score to a street view based on how safe it looks to a human — but using a computer (see FAQ). This website is a collection of map visualizations of perceived safety of street views from cities in the US as predicted by StreetScore. We will be releasing a map of perceived safety for a new city each week. The StreetScore algorithm was created by Nikhil Naik as part of a collaboration between the Macro Connections group and the Camera Culture group at MIT Media Lab. Jade Philipoom created the visualizations presented in the StreetScore website.

Predicting the perceived safety of one million streetscapes
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Alex E

“Maps are like campfires – everyone gathers around them, because they allow people to understand complex issues at a glance, and find agreement about how to help the land.”