Data labeling is the first step in the Al lifecycle. It is the foundation to developing accurate, predictive models that power a myriad of outcomes. Simply, data labeling is the act of adding keywords to unstructured data, like video, images, audio, or text, so that machines learn to automatically recognize the concepts that these keywords describe.
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