In the field of AI development, data annotation (also called labeling or tagging) is the process of adding one or more meaningful labels to data (text, images, videos, audio, etc.). This provides context for machine learning models so they can use the labeled data to make predictions. With labeled data, models can make accurate predictions and improve their performance.
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