Mapillary is a service for crowdsourcing map photos and street view
Using simple tools like smartphones or action cameras anyone can collect photos that are combined into street 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, and also extracts data from traffic signs.
Mapillary provides apps for iOS, Android and Windows Phone, together with tools for using action cameras like GoPro and Garmin Virb. The website http://www.mapillary.com/ shows collected public street view images with a viewed that anyone can embed. Mapillary also provides a set of APIs so that others can build solutions using the data extracted and the photos.
Capture your drives, walks, and bike rides. All images are available to improve OpenStreetMap.
For businesses, there are commercial API options as well as private repositories. With this, any organization can have the full Mapillary service in a closed environment where only users given permission may use and access the service.
|Map data from street-level imagery, powered by collaboration and computer vision
Mapillary is a collaborative street-level imagery platform for extracting map data at scale using computer vision.