51–60 of 67 posts
I plugged in satelite view of pacific islands and it's giving random guesses. I used some of the source images listed on the bottom, one's with properly labelled island name, and it's still giving random guesses. Random streetview shots seems to guess countries correctly so far, or at least region with similar construction. But that still means being (confidently) off by 1000s of km.
Satellite view? This is about street-level photos… I don't think you would mix these two things in the same model, it'd just dilute the capabilities on both.
I'm not sure. Isn't the consensus that neural networks get better, if you make them bigger and give them harder problems?
Posted a photo of my street, with Arthur's Seat in the background. (Meaning I'm in Edinburgh). AI: Scottish residential houses, and a hill. This is clearly Glasgow.
How well would it work if the scenery is not from a road mapped by Google Street View? Like in, the actual nature?
I gave it a much harder photo from the Borrego Badlands, and it got SoCal, but was 200mi off.
Original link https://geospy.ai/ . Pretty scary stuff, I took a picture of one tree, got pinpointed to 4 km.
Gotta wonder why you'd even develop that. This thing seems to have essentially no value for for anyone but bad actors?
Chicagoland park-> guessed central park NYC
Rural Nebraska -> guessed Iowa
Shoshone Wyoming -> guessed Glacier Montana
Earlier quoted context omitted.
Gotta wonder why you'd even develop that. This thing seems to have essentially no value for for anyone but bad actors?
Interpol, Europol, FBI etc. find abused children by geolocating images. This could be very useful for that.
You might think making an AI model will be cheaper, but if you commoditize it like this the additional police work from stalkers will outweigh any savings by multiple orders of magnitude