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[-] pycorax@sh.itjust.works 5 points 12 hours ago

Not gonna lie, I'd like to use this geotag a bunch of photos that I dont have location tagged to it.

[-] tomiant@piefed.social 4 points 1 hour ago* (last edited 1 hour ago)

NO CITIZEN BENEFIT! SURVEILLANCE USE ONLY!

[-] Bronzebeard@lemmy.zip 31 points 21 hours ago

Is it just reading metadata and pretending it's doing something impressive?

[-] FauxLiving@lemmy.world 22 points 19 hours ago

It's doing what the Geo Guesser-like people do.

Like 'this kind of rock formation only appears in Eastern Europe, the wheel you see in the lower left of the screen has Cyrillic writing and if you look in eastern Europe there is one mountain formation that looks like the picture when viewed from a specific angle and so they had to be within this 50m circle'.

[-] Meron35@lemmy.world 1 points 55 minutes ago

Eh, kind of both.

When researchers peeked into which areas of the image were being used, it showed that the tiny camera watermark from the Google Streetview car was being used by the model a lot.

That is, the recognition system had learned all the routes every Google Street view car had taken, and was using that in its recognition process.

Not all images have this watermark though, so in the cases the watermark didn't exist it then resorts to more traditional geoguessr tactics.

[-] panda_abyss@lemmy.ca 3 points 9 hours ago

Download some pictures and ask ChatGPT thinking to find the locations.

It’s already trained on geoguesser data, even if that wasn’t a core feature.

[-] unexposedhazard@discuss.tchncs.de 8 points 14 hours ago

This is the kind of thing that machine learning is very very good at. Its never going to be perfect but its definitely gonna outperform humans.

[-] FauxLiving@lemmy.world 4 points 10 hours ago

In addition, any organization that's using this at scale will also have human experts to handle the edge cases and to validate the system's findings.

We can't copy the human expert without years of training, but copying a program/computer system is only a few terminal commands. The ability to do this kind of thing at scale is entirely new.

[-] frongt@lemmy.zip 4 points 17 hours ago

It's not hard. I once saw a random "what is this thing" photo from a bad angle. But it included a store in the background. Only two stores in North America with that name, though Google map search tried to be helpful and return a bunch of other results. Easy enough to check both.

Even with the extra street view angles I couldn't figure out what the thing was though :(

[-] FauxLiving@lemmy.world 2 points 17 hours ago

It's one of those tasks where it has a bunch of little components, each of which is easy to do (like identifying a store, or mineral formation, or road signs, etc) and so it is a thing that you can design machine learning tools around the individual tasks ('what is this rock?') and then instead of needing a highly trained human being to take a few minutes/hours to go through all of the details from memory, you can just push thousands of pictures through an AI system and get 'good enough' results.

It seems like there is a company selling such a 'good enough' service.

[-] capuccino@lemmy.world 15 points 22 hours ago

---We know where you are!!
---Yeah, so do I.

[-] anghenfil@lemmy.blahaj.zone 8 points 22 hours ago

Would be funny if it's just an API call to OpenAI in the backend

[-] mayabuttreeks@lemmy.ca 37 points 22 hours ago

Funnier if it just funneled all requests to the GeoGuessr dude.

[-] tomiant@piefed.social 9 points 21 hours ago* (last edited 20 hours ago)

"Do you funnel all requests to the GeoGuessr dude?"

"No."

"Be a lot cooler if you did."

[-] eager_eagle@lemmy.world 9 points 22 hours ago
[-] Morphit@feddit.uk 4 points 15 hours ago

Way to go rebranding 'employment.'

Not too far off of how a lot of AIs function, unfortunately

this post was submitted on 18 Feb 2026
157 points (98.8% liked)

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