Mapbox maps, navigation, search, and data are backed by AI. Neural networks and deep learning algorithms interpret petabytes of sensor data collected daily from hundreds of millions of location-enabled vehicles and devices. Live data signals integrate with hundreds of carefully curated data sources. Every week, Mapbox ingests 2. Computer vision algorithms interpret millions of signs, traffic signals, and other objects in images captured by vehicle dashcams and mobile applications.
Machine learning pipelines extract road lanes, turn restrictions, buildings, and more from high-definition aerial imagery. Over 30, users worldwide provide feedback to Mapbox every month, which is then triaged by human reviewers with AI assistance. Mapbox meticulously combines our data with over high-quality commercial, government, and open data sources from around the world to produce comprehensive global datasets. Mapbox Streets contains data from OpenStreetMap.
Includes data from Esri Community Maps contributors. Available under CC BY 4. Includes data from Google Open Buildings. Includes commercial terrain data from Geographx.
Adapted from Statistics Canada , Census Boundaries, This does not constitute an endorsement by Statistics Canada of this product.
Includes place data supplied by GfK GeoMarketing. Australian dataset is partially based on ABS data which is used with permission from the Australian Bureau of Statistics. Canadian dataset is partially based on Department of Natural Resources Canada data.
