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Wouldn't there be a way to make the model more knowledgeable about unknowable things like clothing? Like a new ML project that becomes a clothing detector and inject it in the model? Greetings, an ML nitwit.
2/ So from that perspective it's a bit of a Quixotic quest to try to train a model for "all the clothing knowledge". But anyway- you pretty much have that as best as you can probably get anyway integrated into the singular color model by training it on diverse examples already.
Do I understand correctly then that the model does know and recognize something is clothing; it just always defaults to the same colour? Or is it really more like it doesn't know what it is, so therefore: purple.
Probably a little of both going on there since clothing is so varied.
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