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At the risk of getting into a Twitter battle, I feel the need to point this out: One example of a model generated image going awry doesn't justify concluding it's a case for dataset or model bias. That's ironically a quite biased thing to do.
Such accusations carry a pretty heavy weight to them for the people involved. Be responsible about making them.
The other way around also works: cherry picked results which show that your algorithm works. N=1 is always unscientific and often dumb.
I just realize It’s not always unscientific. Sometimes there is just one observation, like the background radiation. There is only one universe
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