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0 pointsexporectomy4y ago0 comments

Got a source for that?

0 comments

I’m not an expert in this field. What are the likely root causes for this happening?

The most obvious answer that no one wants to mention is that there just genuinely is some similarity between the two categories which is stronger than the similarity between others.

not2b4y ago

While I don't have a source, it seems clear that with sufficient training data they could do better at avoiding this mistake. This should not be hard.

exporectomyOP4y ago

Perfect accuracy in image classification is an unsolved problem. So yea, it's hard.

SilverRed4y ago

If Google and Facebook have both failed with the billions they have spent on the problem, I think we can say yes, it is that hard.

Obviously the people at google had thought of having more training data.

j / k navigate · click thread line to collapse

0 comments

jdavis7034y ago

I’m not an expert in this field. What are the likely root causes for this happening?

SilverRed4y ago

The most obvious answer that no one wants to mention is that there just genuinely is some similarity between the two categories which is stronger than the similarity between others.

not2b4y ago

While I don't have a source, it seems clear that with sufficient training data they could do better at avoiding this mistake. This should not be hard.

exporectomyOP4y ago

Perfect accuracy in image classification is an unsolved problem. So yea, it's hard.

SilverRed4y ago

If Google and Facebook have both failed with the billions they have spent on the problem, I think we can say yes, it is that hard.

Obviously the people at google had thought of having more training data.

j / k navigate · click thread line to collapse