Hi everyone,
I’m happy to present v1 of a comprehensive intro tutorial to geospatial deep learning (focused on building segmentation from drone imagery in Zanzibar) using fastai v1, the latest cloud-native geodata processing tools, and running fully self-contained on Google Colab for ease of learning (and free GPUs!):
Announcement:
Conceptual overview:
Colab notebook (previewed in nbviewer):
https://nbviewer.jupyter.org/github/daveluo/zanzibar-aerial-mapping/blob/master/geo_fastai_tutorial01_public_v1.ipynb
More info & highlights over on the geospatial deep learning thread: Geospatial Deep Learning resources & study group
Given there’s a lot covered here, I’m sure that I missed many things (bugs, mis-assumed knowledge, janky code, bad links). I appreciate any and all of your feedback to make the next versions of this tutorial (and next ones) even better so thank you in advance!
Dave