I’m writing a series of posts on detecting solar panels from satellite images at my company, Appsilon. To be honest, not from satellite images but from orthophotos. If you don’t know what are orthophotos, the good news is that the first post has been released recently!.

The series covers an example ML project journey in python:

  1. Data collection and preparation in pandas and pillow.
  2. Creating a simple ML model for image segmentation using fastai.
  3. Model visualization and serving using streamlit.

If you are interested how to process (large, ~42GB) amounts of image data and how to prepare it for fastai, please feel free to read the post :). It is written for different audience then my blog so keep it in mind ;). Stay tuned for future posts!