Azure/pixel_level_land_classification
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.
Jupyter NotebookMIT
Issues
- 5
Permission Denied on AZCopy
#14 opened by f-tonini - 1
Dead Links
#22 opened by DominikVisca - 3
Error connecting to BLOB storage hosting Pixel-level land classification tutorial data
#23 opened by Petwet2000 - 5
ArcGIS Pro sample project file missing
#20 opened by f-tonini - 4
- 2
GPU version
#11 opened by lmiroslaw - 1
- 1
Docs are misleading for DSVM
#8 opened by Smarker - 1
sku Property Mentioned Twice
#9 opened by Smarker