What is Data Labeling: Definition, Process, and Importance in AI
Data labeling is a core process in artificial intelligence (AI) and machine learning (ML) where raw data is assigned meaningful tags or categories so that machines can understand and learn from it. In simple terms, it is the practice of “teaching” a machine by providing examples that are already correctly identified. It plays a critical role in building AI systems such as image...
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