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