Live data from Hacker News

Show HN: Fake or real? Try our AI image detector

trial.nuanced.dev

31–40 of 52 posts

Re: Show HN: Fake or real? Try our AI image detector

#32

I was thinking about this the other day. The issue is if you have an imperfect test to detect fakes, it gives even more credibility to fakes that pass the test. If there are no tests however, then were left to question the validity of everything

What makes it even more of an issue is that's comparatively easy to generate a 1000 images of a scene and push them all through until you get one that happens to line up in such a way as to pass through the detection (as compared to having to physically paint 1000 scenes).

Re: Show HN: Fake or real? Try our AI image detector

#33
Does any image that's been touched by AI count as fake? For instance, if you took a real photo and asked AI to widen it by 1 pixel, you could argue that this is a new "fake" image generated by AI, but it's 99.9% real. What about something that's been AI-upscaled, like with DLSS?

Re: Show HN: Fake or real? Try our AI image detector

#34

Given a random set of realistic-looking real and AI images, we have found that humans usually score in the 65-80% accuracy rate. You can give it a try here: https://sightengine.com/ai-or-not

I was pretty dead on with photos of people. Especially if they're in color.

And it's not just a hand thing. There's often an element of surreal excess or a kind of uncanny valley/plasticy thing going on. If I had to point something out, it would be skin. AI seems to be bad at generating skin, it has a slightly cartoony look to it. If I were to venture a guess, it's because of the number of photos out there filtered to shit.

I was the worst at macro(?) landscape photography. I think that's what it is. Whatever it is when you essentially take a picture from far away, but zoom in and focus so the foreground and background are both in focus. That's close to 50/50.

Re: Show HN: Fake or real? Try our AI image detector

#35
post #27
post #18

I like how confident the model is when you provide an anime image, the model always thinks it's AI even though I only provided images created by humans, I don't think I've ever seen a worse AI detector in my life. I hope that this is not a real demo of the product.

> don't think I've ever seen a worse AI detector in my life. I hope that this is not a real demo of the product. "I tried it on anime images and it didn't work well on that class" would have been sufficient.

That's a distinction only relevant for research, not an actual product.

People can and do use AI detectors on any art style, often to justify harrassment of suspected AI use. In the anime community, it's especially very common to do so.

A bad AI detector is worse than no AI detection at all, so extra scrutiny is justified.

Re: Show HN: Fake or real? Try our AI image detector

#36
post #33

Does any image that's been touched by AI count as fake? For instance, if you took a real photo and asked AI to widen it by 1 pixel, you could argue that this is a new "fake" image generated by AI, but it's 99.9% real. What about something that's been AI-upscaled, like with DLSS?

It shouldn't classify the example you explained as AI generated, but we are looking at expanding some functionality for similar use cases to that. W.r.t AI-upscaling, the current model isn't looking for it specifically, since many AI generated images may have been upscaled at some point without us necessarily being able to denote it as such when labeling the data.

Re: Show HN: Fake or real? Try our AI image detector

#37
post #34

Given a random set of realistic-looking real and AI images, we have found that humans usually score in the 65-80% accuracy rate. You can give it a try here: https://sightengine.com/ai-or-not

I was pretty dead on with photos of people. Especially if they're in color. And it's not just a hand thing. There's often an element of surreal excess or a kind of uncanny valley/plasticy thing going on. If I had to point something out, it would be skin. AI seems to be bad at generating skin, it has a slightly cartoony look to it. If I were to venture a guess, it's because of the number of photos out there filtered t…

Yes, zooming in on skin usually helps a lot to recognize raw GenAI outputs.

The examples chosen in this test were not collected to be very adversarial, and no additional processing was done.

Re: Show HN: Fake or real? Try our AI image detector

#38

I think iPhones do some pretty complex image processing, and other brands of phones go even farther. I believe there have been instances of phones adding in completely new details (although maybe I hallucinated that detail). What’s the expected result and also what should we put as a “true” answer if we take a picture with our phones and upload it?

Nah, Samsung was substituting in a really good picture of the moon for people's regular moon pictures: https://www.theverge.com/2023/3/13/23637401/samsung-fake-moo...

Re: Show HN: Fake or real? Try our AI image detector

#39

I think iPhones do some pretty complex image processing, and other brands of phones go even farther. I believe there have been instances of phones adding in completely new details (although maybe I hallucinated that detail). What’s the expected result and also what should we put as a “true” answer if we take a picture with our phones and upload it?

Samsung devices, for example, will add detail to what it thinks is the Moon.

https://www.theverge.com/2023/3/13/23637401/samsung-fake-moo...

> The test of Samsung’s phones conducted by Reddit user u/ibreakphotos was ingenious in its simplicity. They created an intentionally blurry photo of the Moon, displayed it on a computer screen, and then photographed this image using a Samsung S23 Ultra. As you can see below, the first image on the screen showed no detail at all, but the resulting picture showed a crisp and clear “photograph” of the Moon. The S23 Ultra added details that simply weren’t present before. There was no upscaling of blurry pixels and no retrieval of seemingly lost data. There was just a new Moon — a fake one.

Re: Show HN: Fake or real? Try our AI image detector

#40
post #27

Earlier quoted context omitted.

> don't think I've ever seen a worse AI detector in my life. I hope that this is not a real demo of the product. "I tried it on anime images and it didn't work well on that class" would have been sufficient.

That's a distinction only relevant for research, not an actual product. People can and do use AI detectors on any art style, often to justify harrassment of suspected AI use. In the anime community, it's especially very common to do so. A bad AI detector is worse than no AI detection at all, so extra scrutiny is justified.

Wasn't aware of that context in the anime art community, that's good to know about, so thanks. Currently, artist drawn anime images weren't a primary stylistic focus, so the gap makes sense.
Post reply on HN