Data annotation involves tagging and categorizing datasets to make them understandable for machine learning algorithms. Annotators mark features like objects in images, sentiment in text, or speech patterns in audio. This labeled data teaches AI models to identify similar patterns independently, forming the foundation for applications like facial recognition and chatbots.
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