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It depends I would say! Embedding-similarity-based models wouldn't profit much from out of distribution training examples I guess. Reconstruction-based models could show improvement but thats mostly an assumption. |
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Is it possible to retain existing model that is saved with only the new good images, so that the model learn new variation in the object intended to be inspected.
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