Mapillary is powered by world-class computer vision
3D reconstruction and semantic segmentation connect images and extract map data at scale for smart cities, geospatial services, and autonomous vehicles.
How Mapillary works
What we do with computer vision
Find out what happens behind the scenes to turn images into connected street-level views and extract map data at scale.
All Mapillary imagery is anonymized for privacy compliance. Our deep learning based algorithms are optimized for blurring faces and license plates on street-level images.
Mapillary uses Structure from Motion to find the relative positions of images and create smooth transitions between them. Our
pipeline is available as open source.
Each image is pixel-wise labeled with 97 object classes. We have the best-performing algorithm for semantic segmentation of road imagery, based on Cityscapes and Mapillary Vistas benchmarks.
Traffic sign recognition
We detect more than 1,500 types of traffic signs in 100 countries. When the same sign appears in multiple images, its position in space is triangulated and the traffic sign is extracted as a map feature.
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Mapillary is the platform that makes street-level images and map data available to scale and automate mapping.
We’re committed to building a global service for everyone.