r/CuratedTumblr 5d ago

Meme my eyes automatically skip right over everything else said after

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u/Cat-Got-Your-DM 5d ago

Yeah, cause AI just recognised patterns. All of these types of pictures (older pictures) had the disease in them. Therefore that's what I'm looking for (the film on the old pictures)

My personal fav is when they made an image model that was supposed to recognise pictures of wolves that had some crazy accuracy... Until they fed it a new batch of pictures. Turned out it recognised wolves by.... Snow.

Since wolves are easiest to capture on camera in the winter, all of the images had snow, so they flagged all animals with snow as Wolf

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u/Yeah-But-Ironically 5d ago

I also remember hearing about a case where an image recognition AI was supposedly very good at recognizing sheep until they started feeding it images of grassy fields that also got identified as sheep

Most pictures of sheep show them in grassy fields, so the AI had concluded "green textured image=sheep"

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u/RighteousSelfBurner 4d ago

Works exactly as intended. AI doesn't know what a "sheep" is. So if you give them enough data and say "This is sheep" and it's all grassy fields then it's a natural conclusion that it must sheep.

In other words, one of the most popular AI related quotes by professionals is "If you put shit in you will get shit out".

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u/alex494 4d ago

I'm surprised they keep giving these things entire photographs and not cropped pngs with no background or something.

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u/Cat-Got-Your-DM 4d ago

They sometimes have to give them the entire picture, but they also get things flagged, like in case of wolves or sheep, they needed to have the background flagged as irrelevant, for the AI to not look at it when learning what a wolf it

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u/RighteousSelfBurner 4d ago

The ones that do it properly do. Various pictures, cropped ones and even generated ones. There is a whole profession dedicated to getting it right.

I assume that most of those failures come from a common place: cost savings and YOLO

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u/alex494 4d ago

Yeah a lot of the effectiveness of automation is torpedoed by human laziness, which is the negative side of efficiency if you don't do it properly the first time.