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Annotation involves labeling raw data—such as text, images, or video—with relevant tags to prepare it for machine learning models. Accurate data annotation forms the foundation for training AI systems. Models learn from patterns in labeled data and then mimic them.
Whether manual or automated, annotation must be consistent and scalable, especially when handling large datasets.