Today I'm writing a post on how to learn to classify cat and dog pictures given only 1000 examples of each. Diff. approaches, 80-95% acc.
most people/businesses interested in image classification don't have large datasets, yet there's little material about small data
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have you seen a fully nonparametric Bayesian convnet-like solution?
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don't think I've seen any. But 2000 150x150x3 images is still *a lot* of data for Bayesian approaches I think. Maybe not possible
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Have run into this at work. If lucky you can use one of the commercial APIs but often want to find things they don't cover.
Thanks. Twitter will use this to make your timeline better. UndoUndo
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