- Mapillary, the computer vision-powered street-level imagery platform, unveils a new tool that allows anyone to task people in their organization to gather imagery and map data
- Capture Projects gives cities and mapmakers the ability to manage an unlimited number of drivers to capture imagery, rapidly escalating how quickly maps can be updated at scale
- Mapillary already hosts 450 million images on its platform and works with cities ranging from Los Angeles to Amsterdam and with mapping companies like HERE and Mapbox
London, February 13 – Mapillary, the street-level imagery platform that uses computer vision to fix the world’s maps, today announced a new tool that allows cities and mapmakers to take control over their map data collection in order to build better maps at scale. Called Capture Projects, the tool consists of a combination of a web and a mobile app, named Mapillary for Drivers, that gives cities and mapmakers the ability to task and manage an unlimited number of drivers to capture street-level imagery at any given point, rapidly escalating how quickly map data can be generated just using cameras.
Jan Erik Solem, co-founder and CEO of Mapillary, says: “There’s always been a huge gap in being able to access map data at scale, for everyone from mapmakers and cities to transportation agencies and utility companies. Cities, for instance, normally pay contractors $4-6 per traffic sign when they need to do inventories of their street assets, simply because that’s how expensive and time-consuming the old, manual approach is. Capture Projects slashes costs for both cities and contractors. It means that anyone can get an area systematically covered with imagery and map data, have all that data in their own workflows, and build better maps quicker as a direct result.”
The tool is announced just weeks after Mapillary put 186 million AI-generated map features on the global map, using nothing but images and computer vision. Derived from the 450 million street-level images that have been contributed to the Mapillary platform, Mapillary’s computer vision technology detects, positions, and places 43 different object classes onto the global map, ranging from utility poles and traffic signs to fire hydrants and CCTV cameras. Capture Projects means that anyone can speed up data collection in a geographical region of their choice to access computer vision-generated map data in that particular area.
Map data is becoming increasingly in demand as rapid advances in autonomous driving and urban development is escalating the need for a new way of mapping the world. Research shows that the global geospatial analytics market is set to surge by 357% between 2017 and 2027, growing from $38.6 billion to $174.6 billion as fresh map data is becoming increasingly important for industries ranging from transportation and automotive to GIS and maps.
Jan Erik Solem says Mapillary will continue building tools for connecting image capture with data demand on the Mapillary platform: “We’re the only player that processes street-level imagery from any camera and automatically generates map data that anyone can access. There is a huge demand for this and we’re working hard to make sure that cities and mapmakers will always be able to access the data they need, as fast as they need it.”
Capture Projects is available on Mapillary’s web platform, mapillary.com. The accompanying mobile app, Mapillary for Drivers, is currently available for iOS devices and is under development for Android devices.
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About Mapillary’s Capture Projects
Mapillary Capture Projects is a tool that helps quickly cover an area with fresh street-level imagery by dividing it into tasks that are assigned to drivers. Drivers complete their tasks by capturing imagery and view progress with the Mapillary for Drivers app.
Capture Projects are set up and managed on the Mapillary web application. Drivers use the mobile app, named Mapillary for Drivers. Progress on individual tasks is shared directly from the road to a web interface for admins. The Mapillary for Drivers app is currently available for iOS devices.
All uploaded imagery is processed with computer vision on the Mapillary platform to detect objects in images and generate fresh map data that’s available to everyone for updating maps at scale.
Mapillary is the street-level imagery platform that uses computer vision to fix the world’s maps. Images from any device are combined into a visualization of the world that generates map data for improving maps, developing cities, and progressing the automotive industry. Mapillary’s tools enable anyone to collect, share, and use street-level images.
Today, people and organizations all over the world have contributed more than 440 million images toward Mapillary’s mission of helping people understand the world’s places through images and making this data available, with clients and partners including the World Bank, HERE, and Toyota Research Institute. Mapillary has raised $24.5 million in venture capital from some of the world’s most seasoned investors, including Sequoia Capital, Atomico, and BMW i Ventures.