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Data annotation is essential for training AI models to understand specific information, involving categorizing and annotating data for a particular use case. The process converts unlabeled data into training data, teaching AI models to recognize patterns. The workflow includes annotation, tagging, classification, moderation, and processing of text, audio, image, and video data. High-quality data annotation enables the development of AI applications like product recommendations, search engine results, computer vision, and speech recognition.
