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Labeled data is a fundamental requirement for training any supervised machine learning (ML) model. This article explores the importance of quality labeled data in training AI models to perform tasks effectively, as well as some of key challenges, potential solutions and actionable insights. It also provides examples of the utility of labeled data, such as image, audio, text and sensor data.
