Training Convolutional Neural Networks On Satellite Image Data

Ahmet Taspinar builds a neural net which detects roads in satellite images:

Next we will determine the contents of each tile image, using data from the NWB Wegvakken (version September 2017). This is a file containing all of the roads of the Netherlands, which gets updated frequently. It is possible to download it in the form of a shapefile from this location.
Shapefiles contain shapes with geospatial data and are normally opened with GIS software like ArcGIS or QGIS. It is also possible to open it within Python, by using the pyshp library.

This is a pretty lengthy and interesting tutorial.  H/T Data Science Central

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