Train recognition models
for street scenes
Develop your algorithms with the most diverse data from all
over the world, including different weather, season, time of
day, camera, and viewpoint conditions.
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Mapillary Vistas Dataset
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.
Learn more
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Mapillary Traffic Sign Dataset
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.
Learn more
