

The platform stitches and processes these images via computer vision to extract geospatial features, such as traffic signs, lane markings, potholes, and utility poles, making them available for mapping, infrastructure planning, and autonomous vehicle systems.
In June 2020, Mapillary was acquired by Meta (formerly Facebook), joining its geospatial and AI infrastructure initiatives.
Company Snapshot
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Product
Users capture geotagged imagery using smartphones, action cams, or dash cams. Mapillary anonymizes (blurs faces/license plates) before aggregating images to generate smooth, navigable 3D views along streets and trails.
The platform applies computer vision to identify and extract over 96 object types — traffic signs, street features, pavement defects — and converts them into GIS-ready formats like GeoJSON or shapefiles. These outputs support asset management, urban planning, and autonomous vehicle perception systems.

Team

Jan Erik Solem

Johan Gyllenspetz

Yubin Kuang
Contact information
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