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One of the comments shows how to remove stuff like exif data.

> 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 to detect image modifications[1] - resize percentage can be a real number - so 91.5% or 92.1% ... So, AI image detection notwithstanding, you can not only remove metadata but also make each image you publish different from one another - and certainly very different than the original picture you took.

Archive: https://archive.today/RuYt4 HN Archive: https://archive.today/kHlqo HN Article: https://news.ycombinator.com/item?id=42419469

From the post:

>Your photos reveal a lot of private information. In this experiment, we use Google Vision API to extract the story behind a single photo.

One of the comments shows how to remove stuff like exif data. >> 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 to detect image modifications[1] - resize percentage can be a real number - so 91.5% or 92.1% ... So, AI image detection notwithstanding, you can not only remove metadata but also make each image you publish different from one another - and certainly very different than the original picture you took. Archive: https://archive.today/RuYt4 HN Archive: https://archive.today/kHlqo HN Article: https://news.ycombinator.com/item?id=42419469 From the post: >>Your photos reveal a lot of private information. In this experiment, we use Google Vision API to extract the story behind a single photo.
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[–] • 1 pt (edited )

It's google. [Edit] Sorry, tired, responded before fully reading.

Seems like it got some of it right at least. I am sure there was embellishment there.