Hey everyone, I wanted to see if cultural urban characteristics could be recognized by a resnet style architecture.
So I downloaded 4000 satellite images of the 1000 largest cities (using GMap’s static API), and labeled each with its country.
I was expecting it not to work that well, but got to 85% accuracy with resnet34 (over 110 classes !!!) - here are the worst offenders:
I’m not sure it’s not picking up some individual satellite characteristics rather than the urban specifics of each country but I’m curious to investigate this some more over the coming weeks.
Repo is here but the notebook is essentially a copy paste of the lesson’s code. Scraper is in there too (sorry it’s in Go but happy to share the binary)