Zitkála-Šá (Lakota: Red Bird), also known as Gertrude Simmons Bonnin (1898). Colorized by DeOldify.pic.twitter.com/H3hbyvVqoW
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hi Jason, as a signal processing researcher working with deep learning and more recently on ML fairness, I am interested to see how this can be improved to work with people from other races. it seems that all faces have a pinkish hue. could that be a sample bias?
It's based on ImageNet, which apparently has a bit of bias built in. The real question is how do I as a person working at home on a desktop computer create a large and diverse enough to adequately address (and verify) this? I'd like to do better but that's the big hurdle.
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There might be a supplementary dataset out there that could address this, but I'm not sure what that would b.e But also, this is quite a hard problem if you think about it. Identifying the correct color through photos like this is no easy task, and people are very diverse.
Thanks. Twitter will use this to make your timeline better. UndoUndo
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maybe train another model with other datasets. check the datasets used in inclusive image classification: https://ai.googleblog.com/2018/09/introducing-inclusive-images-competition.html …
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Seems like a great start. Thanks! Verification is still a big challenge in my mind. I do think the nature of the problem is that there's always going to be exceptions.
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