heh, Google noticed that I had photographed text, and automatically assumed it was supposed to be horizontal, despite vertical scripts existingpic.twitter.com/r1laGVeug1
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That's my point: with your 2nd picture you argue that the ML has a bias towards making text horizontal because it's trained on LTR. But your 1st picture has an example of making LTR text vertical. Both are wrong, but the 1st picture makes it harder to justify LTR scripts bias.
the first picture is very clearly a food picture, not a text picture again, it's pretty good at noticing what's the subject of the photo
But yes, making the connection to bad ML training data is tenuous. I've experienced this specific issue before, but yeah
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