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Develop your algorithms with the most diverse data from all
over the world, including different weather, season, time of
day, camera, and viewpoint conditions.
A benchmark dataset of manually annotated training data for semantic segmentation of street scenes. 25,000 images pixel-accurately labeled into 152 object categories, 100 of those instance-specific.
A benchmark dataset with bounding box annotations for detecting and classifying traffic signs around the world. 100,000 images with over 300 traffic sign classes, with manual and machine annotations.
A benchmark dataset for lifelong place recognition from image sequences. 1.6 million images from diverse geographies and scene characteristics, provided with GPS coordinates and sequence information.
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.