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Data Labeling and Annotation Explained
Data labeling and annotation are the backbone of modern Artificial Intelligence systems. These processes help machines understand raw data by adding meaningful tags or labels to it. For example, an image of a cat becomes useful for training when it is labeled as cat, and similar logic applies to text, audio, and video data. Without proper labeling, AI models cannot learn patterns effectively,...
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