Crowdsourcing street level photos using computer vision, smartphones and cameras.

Mapillary is a service for crowdsourcing map photos. Using simple tools like smartphones or action cameras anyone can collect photos that are combined into a street level photo view. Computer vision on the server-side automatically matches and combines photos across time and across users. Photos are processed with privacy preserving blurring using face detection and license plate detection.

Mapillary provides apps for iOS, Android and Windows Phone, together with tools for using action cameras like GoPro and Garmin Virb. The website shows collected public images with a viewer that anyone can embed. Mapillary also provides a set of APIs so that others can build solutions using the data extracted and the photos.
Crowdsourcing, Computer Vision, Photo Tech
  • Mapillary

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