Model for finding houses on Google Maps?

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Hi! New guy here, sorry if my question doesn’t make too much sense.

I’m trying to automate some time-consuming tasks with computer vision and machine learning. For example, given a map of a rural area, do you believe I could use some sort of automation to recognize parts of it corresponding to a human-built structure, like a home or a barn? I’m especially interested in doing it with Elixir and Phoenix LiveView, especially if I can just consume Google’s API instead of working with screenshots.

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Probably… There are definitely better places to ask this question though where this question will get more tractions. (There’s gotta be a computer vision or machine learning subreddit where you can reach a wider audience.)

I think that OpenStreetMap uses the same concept as Google Maps (interpreting building shapes from overhead imagery) so maybe you could look into that as well.

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Thanks for your reply! I’m going to bed now as it is late here but if you could please point me to a specific resource about OSM I’ll read it when I wake up. Thanks in advance!

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You replied quick :D, I didn’t get a chance to edit my post with a mention of Bumblebee, which is an Elixir library that allows you to easily integrate with machine learning models available on HuggingFace.

I did a quick poke around on the topic of OSM building recognition (Not trying to be a dink with the Google link, there’s a ton of info there and it’s worth a look), which led to a few links, most notable this one.

From what I’m seeing, there’s a few repos out there, and they all have Python + Jupyter notebooks. Which makes sense since Python is big in the ML community since it’s a great glue language and is used widely in academia.

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