Google Unveils Neural Network With Ability To Determine Location of Any Image (technologyreview.com)
schwit1 writes: Here's a tricky task. Pick a photograph from the web at random. Now try to work out where it was taken using only the image itself. If the image shows a famous building or landmark, such as the Eiffel Tower or Niagara Falls, the task is straightforward. But the job becomes significantly harder when the image lacks specific location cues or is taken indoors or shows a pet or food or some other detail. Nevertheless, humans are surprisingly good at this task. To help, they bring to bear all kinds of knowledge about the world such as the type and language of signs on display, the types of vegetation, architectural styles, the direction of traffic, and so on. Humans spend a lifetime picking up these kinds of geolocation cues. So it's easy to think that machines would struggle with this task. And indeed, they have. Today, that changes thanks to the work of Tobias Weyand, a computer vision specialist at Google, and a couple of pals. These guys have trained a deep-learning machine to work out the location of almost any photo using only the pixels it contains.
Can it figure out where the notorious goatse photo was taken?
I'm well traveled enough to recognize certain kinds of indoor fixtures as being typical for specific countries, or at least regions. One giveaway are electrical sockets. You can learn a lot from the details on those. Window shapes, frames and latches also reveal a lot.
In mathematics, "almost all" means "all, except for a finite number". As the number of pictures in this universe is finite, this could even mean this "magic" machine cannot do it at all. I guess the headline was written in this spirit.
Most ACs are not even worth the keystrokes to insult them. Be generically insulted by this and ignored otherwise.
It can't possibly determine the location of any image. Many will simply have too little location data to form a reasonable guess.
Well the "Guess the location" thing, not the NN :)
There's a site that basically opens StreetView at random around the world and asks you to place it on the world map. As the summary explains, you can use a number of clues to generally place photos surprisingly accurately. Used to play this occasionally at work, we really liked that it challenged you to think about all these things that you know about the countries and regions around the world.
https://geoguessr.com/
According to the article, it can identify 10.1% of the Flickr images it was tested on at "city-level" accuracy.
Addicted to that game.
Gee, he and a couple of pals! How swell is that! The American dream!
Except that this was done decades ago by the military, and these guys are simply riding their privilege to success on the coattails of the MIC to which they have sucked up. From the largest intelligence entity in the known universe.
Guess us old-timers will finally find out where the goatse guy is hiding out. :(
I like big butts and I cannot lie.
you watch a movie with it and it returns Vancouver
Now, where does it say the moon landings were filmed?
Sheesh, evil *and* a jerk. -- Jade
You're not worth a dollar an hour.
Have gnu, will travel.
How many of the human contestants had been trained using 91 million tagged images specifically for this purpose?
Requiem for the American Dream
'Nuff said.
Pretty sure that's a typo.
Submit a picture of your bhole and see if it can find where your arse is located
How will it cope with an indoor picture from Australia with an Eiffel tower picture hanging on the wall?
Any human will conclude the Eiffel tower here does not mean the picture is from Paris, but a computer?
Perhaps not all of them but it is a thing many talk about, that different locations have a distinct quality to the natural light there. Not just location either, but seasonal variation too. It would not surprise me if the NN was also sensitive to these clues. Which makes me wonder can Weyand el al get their NN to tell them additional things about the image such as time of day and day of year, perhaps even in some cases actual year because it can cross reference images in the same location with known dates against an image that it has geo-located and know what the weather (lighting conditions) were for that point in time near that location.
This is why I only use organic pixels for my photos. None of those unnatural digital markers contaminating my files!
Yeah, but in the end, the neural net still has no explicit "kinds of knowledge about the world such as the type and language of signs on display, the types of vegetation, architectural styles, the direction of traffic, and so on." It just kept guessing with brute force, got feedback, and heuristically mapped results to visual patterns. These colored regions in the images with a striking similarity to each other have a tendency to be associated with the location of Russia. It doesn't what signs are. What letters are. Much less the Russian alphabet, its words, syntax, or grammar, or why certain words are chosen to be on signs vs. others. This is not at all similar to how a human becomes good at gleaning locations, too. The computer is reasoning completely bottom-up, whereas a human would mix top-down and bottom-up.
So he's worth less than his mom?
I wonder if they're planning on using this to track criminals such as child pornography creators etc online. It would certainly be a good use for this. I doubt it's accurate enough to capture a house etc (unless somebody was dumb enough to have other pics in the same house/room), but it might help regionalize it.
You saying she raised her prices?
You created an account just so you could post that? Wow! What a loser!
Clearly you're not worth a dollar per hour. Not even close.
Google claims to have this so-called 'deep-learning machine' can identify the location of any photo? I will bet Google 1 BILLION dollars that they can't identify the locations of most of the photos I have...all pre 90s photos taken all over the US with absolutely NO landmarks in the background or other key deciding factors. Someone at Google got waaay too cocky about their 'slightly improved' algorithm. On the other hand, I once knew a guy who invented a machine that could generate 400% of the power required to power itself...
"Humans spend a lifetime picking up these kinds of geolocation cues. So it's easy to think that machines would struggle with this task. And indeed, they have."
Dude, humans do all of the struggling, don't put the blame on the machines... Had they been conceptualized & implemented correctly so they could do the task, so would they.
Oh,. boy, 3.6 percent. Yeah, any image, not.
(Also, 48% continent is worthless because you could get some percentage just by guessing USA or Europe each time.)
This is worthless too. Not just because 1000 instead of 2000 is still pretty big, but because you could improve performance over humans just by doing things like "if you only know the country, guess the population center", which most humans won't do.
Many types of change are stressful, dangerous, etc. That doesn't mean a change shouldn't happen. Sometimes, as I assert is the case with menial labor, the status quo has no particular merit. The sooner we get to an economy of plenty, the better off humanity will be. Yes, the 1% will likely do their very best to stand in the way, but it is my hope that change simply steamrollers them.
I've fallen off your lawn, and I can't get up.
You're on slashdot.
No, no need to thank me. I'm into public service.
I've fallen off your lawn, and I can't get up.
Give me a few billion images taken in random locations around the world, and I could probably score within the 99th percentile of accuracy by saying they were taken on the planet earth!. Very few images are available from outside the atmosphere, so they would bare be a blip in the error stats
Okay Google... Tell me exactly where on the planet THIS PHOTO was taken.
I'll wait...
Slashdot gets worse every day... Pipedot: News for nerds, without the corporate slant
Presto doxed!
A massive chance to save so many of the victims of paedophiles, and return trafficked children to their real homes, will law enforcement jump at this opportunity god I hope so. There are few things that can offer real hope to these children, and by the sounds of this it would be a massive leap in the right direction.
Fuck you.
You contribute nothing of value to humanity.
You're an idiot. Go to hell.
I fucked your mother last night and the bitch screamed. She wasn't a good fuck, though, not even worth a few pennies.
Fuck off! Loser!
I tried to have sex with your mom but the bitch is too fat and there's too much flab in the way.
You're an idiot. GTFO.