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They see your photos

theyseeyourphotos.com

201–210 of 240 posts

Re: They see your photos

#201
post #148

magick convert IMG_1111.HEIC -strip -quality 87 -shave 10x10 -resize 91% -attenuate 1.1 +noise Uniform out.jpg This will strip ALL exif metadata, change the quality, shave 10 pixels off each edge just because , resize to xx%, attenuate, and adds noise of type "Uniform". Some additional notes: - attenuate needs to come before the +noise switch in the command line - the worse the jpeg quality figure, the harder it is t…

resize percentage can be a real number - so 91.5% or 92.1% ... Pi?

Don't be irrational

Re: They see your photos

#202
I fed it Trumps bullshit AI photo from today and it’s clearly hallucinating bullshit

“the subtle shadows of the drones indicates they are real not photoshopped…”

lol. Another AI snakeoil page.

Re: They see your photos

#205
In other words, images don't only potentially contain a lot of metadata (serial numbers, a geolocation, time since last OS reboot etc.), but people or algorithms could also... look at them, and then find out what's depicted?

I'll be sure to keep that in mind going forward!

Re: They see your photos

#206

Earlier quoted context omitted.

Hey, one of the folks working on the said photo service here. Ente has reasonably good search[1] powered by on-device machine learning[2]. [1]: https://ente.io/blog/machine-learning [2]: https://ente.io/ml

Thanks. I would gladly take away the "convenience of AI search" for the privacy that your service provides. I used Ente once, and it was great, but I am poor, so I just store my images locally now. Not that your service is expensive or not worth it because I think it is.

I haven’t tried it (yet), but self hosting Ente seems to be easy enough?

Re: They see your photos

#207

Earlier quoted context omitted.

Thanks for the clarification. My family library is around 1Tb, the weakest device is an iPhone SE, and the most used access is through a web browser. Does on-device machine learning (provided you're syncing inter-device) work in that scenario ?

If I can interrupt.. Wow, 1TB of photos? This is just astonishing to me. What is the use of so many images? As an ex semi-pro photographer, one of the things I realized is that what makes photographs special to people, even family photographs, is the rarity of them. So I just cannot understand taking and holding on to this many images. I would find just managing the images would take away time and money from my famil…

In this day and age, dealing with that amount of data even to archival standards may well be cheaper than you’d rate your labor to sort all the wheat from the chaff…

Re: They see your photos

#208

Earlier quoted context omitted.

I had it trying to guess the economic status of a snow leopard. > The image centers on a single snow leopard; there are no humans present. The leopard's expression is alert and slightly wary but not aggressive. It's difficult to definitively determine the leopard's age or exact health from the image, but it appears to be an adult in relatively good physical condition. There are no clear indications of its economic st…

The economic status thing is interesting. I can’t help but wonder if there’s bias there. I uploaded a picture of me and a friend. I am Caucasian, he is of African descent. It said that my attire indicated I was of a higher socio-economic status than him. I was wearing a black t-shirt with a worn print. He was wearing a shirt and sports jacket.

Did it get it right? Giving it the benefit of the doubt, it's possible that the particular shirt / jacket combo is cheap? Just reaching here, instead of plumping for the obvious.

Re: They see your photos

#209
post #160
post #148

magick convert IMG_1111.HEIC -strip -quality 87 -shave 10x10 -resize 91% -attenuate 1.1 +noise Uniform out.jpg This will strip ALL exif metadata, change the quality, shave 10 pixels off each edge just because , resize to xx%, attenuate, and adds noise of type "Uniform". Some additional notes: - attenuate needs to come before the +noise switch in the command line - the worse the jpeg quality figure, the harder it is t…

Clearly better than nothing, but how does it work with perceptual hashes? I gave it five minutes to try to get pHash to run locally but didn't manage to get any useful results from it, I was probably holding it wrong.

I’ve been working with perceptual hashes a lot lately for a side project, and my experience is that they are extremely resilient to noise, re-encoding, resizing, and some changes in color (since most implementations desaturate the image). Mirroring and rotation can in theory defeat perceptual hashing, but it’s fast enough to compute that if you care you can easily hash horizontal and vertically mirrored versions at 1 degree increments of rotation to identify those cases. Affine transformations can easily defeat some perceptual hashing algorithms, but others are resistant to them.

The big weakness is that most perceptive hashing algorithms aren’t content aware, so you can easily defeat them by adding or removing background objects that might not be noticed or considered meaningful by a human observer.

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