Importance of Data Labeling for AI and ML Models | Macgence
Data labeling is crucial for developing AI and machine learning models, as it helps machines understand and use raw data. It involves adding tags and annotations, such as keywords, categories, and attributes, to help artificial intelligence tools train themselves. It can be done using automated tools or manually by humans. Different types of labeling include image labeling, text labeling, audio labeling, and video labeling. It reduced errors and biases, and improved overall performance.
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