Open source releases from Microsoft
A deep learning project in cooperation with the NOAA Marine Mammal Lab to detect & classify arctic seals in aerial imagery to understand how they’re adapting to a changing world.
Scenarios, tutorials and demos for Autonomous Driving
Documentation for the Bing Maps developer APIs
Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)
Running the most popular deep learning frameworks on Azure Batch AI
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.