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Data labeling is the process of identifying raw data (images, text files, videos, etc.) and adding one or more meaningful and informative labels to provide context so that a machine learning model can learn from it. Several companies are taking strategic initiatives for building strong machine learning models by outsourcing data collection and data labeling services.