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Map Data

See what the data extracted from Mapillary imagery reveals about the world.

Towards a driverless future: How Mapillary is teaming up with Siemens to teach streetcars to see in a fully autonomous depot

Posted on 08 Oct 2019

computer vision news map data

Mapillary is teaming up with Siemens, Germany’s Federal Ministry of Transport and Digital Infrastructure, and others to make driverless streetcars in a self-operating depot a reality. The project takes place in Potsdam and will over the course of three years teach a driverless streetcar to get from A to B with the help of sensor fusion and street-level imagery that Mapillary is turning into map data to allow the streetcar to see.

Using Mapillary in Education: Street-Level Imagery for the Next Generation of GIS Professionals

Posted on 03 Oct 2019

Esri Education Manager, Joseph Kerski, explains how teaching with Mapillary is helping to train the spatial awareness of students who will go on to create the communities of tomorrow.

How to Use Mapillary Data in OpenStreetMap

Posted on 23 May 2019

map data tutorials

Mapillary has been processing street-level imagery with computer vision in order to extract traffic signs for several years, but in 2019 we’ve started to offer an expanded dataset. Point features such as fire hydrants, crosswalks, and manholes are also now available, with their location approximated on the map thanks to 3D reconstruction of scenes combined with segmentation of the images where these objects are recognized. To date, Mapillary has identified more than 191 million of these map features, and one of the results is GeoJSON data that can be used to enhance a map.

Analyzing Parking Signs at Scale: How Mapillary is Working with Amazon Rekognition to Help US Cities End Their Parking Troubles

Posted on 13 Sep 2018

news map data computer vision

Managing parking infrastructure is a billion-dollar problem for cities all across the US. There has been no easy way for cities and Departments of Transportation to access parking sign data, resulting in poor decisions around parking infrastructure and planning. Today, Mapillary and Amazon Rekognition are introducing a scalable way to help US cities get a handle of their parking infrastructure.

Between the Lines in Helsingborg: Locating Assets via Imagery

Posted on 12 Jan 2018

Helsingborg, a forward-thinking Swedish city, makes visual geospatial data available on Mapillary for both staff and the public. Automatically extracted map features complement the city's geospatial records and help get an overview of Helsingborg's assets.

Completing the Map for Bicycle Advocacy in Ottawa

Posted on 17 Nov 2017

Bike Ottawa members captured 450,000 images across 2,000 km in just a little over a month to gather data for bicycle advocacy work. Determining the need for infrastructure creation and maintenance, building a model for traffic stress levels, and monitoring progress are just some of the ways they are now using the imagery.

Celebration with Open Data: Making Lithuanian Road Imagery Available to Everyone

Posted on 28 Sep 2017

The Lithuanian Road Administration is making imagery from the entire road network in Lithuania available to the public. This is an open data initiative of the modern civic state that will soon celebrate its Centennial.

Amsterdam in 360: From Imagery to Map Data in Seven Days

Posted on 28 Jun 2017

The City of Amsterdam captured 800,000 panoramic images of the city and brought them to Mapillary in an open data effort. In just a week's time, the street-level views and the map data derived from the imagery have been made available for anyone to use.

Mapillary's Rhythm

Posted on 21 Mar 2017

Over the past few years Mapillary has matured into a worldwide repository of street-level photos. Take a quick look behind the scenes and see how millions of photos are flowing into the system.

Visualizing Global Mapillary Connections

Posted on 25 Sep 2016

Taking Mapillary with you on your adventures is easy. Below are some map visualizations revealing how people move around the globe while photo mapping interesting places.