Skip to content
#

microsoft-machine-learning

Here are 7 public repositories matching this topic...

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.

  • Updated Jul 25, 2019
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the microsoft-machine-learning topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the microsoft-machine-learning topic, visit your repo's landing page and select "manage topics."

Learn more