We discussed building a team for building a team at our local water hole.

What it does

Our project takes Landsat images, processed them into labeled "chips" and trains a fully connected CNN.

How we built it

We built Geopher within 4 weeks using Python and Cloud resources.

Challenges we ran into

Chipping the images and loading them in batches for training proved harder than anticipated.

Accomplishments that we're proud of

Creating a reusable pipeline, getting segmentation results and transforming them back to coordinate space.

What we learned

We learned how sensitive AI models are to data. We learned about FCCNN architecture.

What's next for Geopher

There is much more experimentation possible. See slide deck.

Link to presentation

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