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Frequently Asked Questions

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­I guess it would have to understand what upside down meant as an orientation. ­

Answer: ­Right, the current implementation does not work on semantic knowledge of those types of relationships.  It is applying a convolutional...

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What about "on the fly" or if it would have to be programmed earlier/ahead of time.­

Answer: As with most machine learning tools, you would need to provide "labeled" images that identified the object as "non-defect" to retrain the...

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Through machine learning, can the example iPhone/Lego program become able to understand that the green Lego is merely upside down (a different orientation) vs being defective? ­

Answer: Yes, it could.  In this case, it was just used as a simple way to simulate a defect. ­

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