AI models that interpret and interact with the physical world rely on large image datasets, annotated so the neural network can learn exactly where one object ends and another begins. But most models rely on crowdsourced datasets that are imperfect for the job �� because an AI learning from a messy dataset doesn��t know that there��s a gap between the labeled boundaries it��s provided with and the��
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