I just randomly did this image from r/TheWayWeWere on Reddit. I love that the model decided to make their shoes super ugly yellow crocs, basically.pic.twitter.com/BB735dijcC
Obsessively pursuing the perfection of image and video colorization/restoration using deep learning. Creator of DeOldify.
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I just randomly did this image from r/TheWayWeWere on Reddit. I love that the model decided to make their shoes super ugly yellow crocs, basically.pic.twitter.com/BB735dijcC
Maybe it confuses the shape of the crocs with bananas :)
Quite possible...interesting context to place them though lol
what do you think caused the yellow color? is this a function of training data overly biased toward yellow shoes (or shoe-shaped objects) and thus fixable by finding more generalized data?
I think it's actually picking up on subtle cues based on material and shading, independent of what the item actually is. I've seen this play out with a lot of different things that the model would otherwise not be able to determine such colors.
interesting. i guess the next q is how do these things get corrected? feed more data? tweak model parameters? or unsolvable? this also assumes the model was wrong, which others seem to suggest may not be true.
ok thanks. sorry if these seem like dumb qs, just trying to figure out how to build upon the greatness that is deoldify. :)
Not dumb! It's hard. Believe me. I've been working on this for quite a while. It's soooooo friggin hard.
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