AI Data Annotation is the process of labeling raw data like images, videos, audio, or text to make it understandable for machine learning models. It plays a crucial role in training AI systems to recognize patterns, objects, and contexts accurately. From bounding boxes in images to sentiment tagging in text, annotated data ensures precision in predictions and decision-making. Industries such as healthcare, automotive, retail, and finance rely on high-quality annotated datasets for applications.
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