In machine learning, Data labeling is the process of identifying the properties of documents, text and images, and annotating them with these properties, and adding one or more significant and informative labels to provide a context so that an automatic learning model can draw its lessons. Several companies take strategic initiatives to create solid automatic learning models by outsourcing data collection and data labeling services.