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Computer vision models have become insanely sophisticated with a wide variety of use cases enhancing business effectiveness, automating critical decision systems, and so on. But a promising model can turn out to be a costly liability if the model fails to perform as expected in production.
This article shows how to deploy CV models while keeping all the critical aspects in mind.
There's unfortunately not much to read here yet...
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