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.
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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.
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Mapillary Street-level Sequences Dataset

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.
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Start training the best
computer vision models

Get in touch with us to learn more about our datasets and how to get started.
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Autonomous Intelligent Driving uses Mapillary data to train robust perception models for autonomous vehicles.
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Toyota Research Institute accelerates deployment of machine learning algorithms with Mapillary data.
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