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Computer vision in AI: the data needed to succeed

Computer vision in AI: the data needed to succeed Developing the ability to notice massive volumes of data while maintaining quality is a function of the life cycle of model development that companies often underestimate. He uses a lot of resources and needs specialized expertise. At the heart of a successful machine learning / artificial intelligence (ML / AI) initiative is a commitment to high quality training data and a path to proven and well-defined quality data. Without this quality data ...
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