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Why Training With a Few Good Images is Fake News

Unsupervised deep learning such as this, where the model learns only from OK samples, struggles to deliver the desired results. In most cases 20, 50 or even 100 OK samples can’t really represent all the diversity of a product, unless the product is very simple, or the inspection task is trivial. Production is ever changing and a part produced today will look different from the same part produced a week or a day ago.

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