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AI Data Preparation & Feature Engineering › Data Labeling & Annotation

What is Data Labeling & Annotation

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Answer

Data labeling and annotation is the process of adding correct answers or tags to raw data so it can be used for supervised machine learning.
Real-world example A team hires human annotators to label thousands of medical images as showing a tumor or not before training a diagnostic model.

Common follow-ups: What is AI Data Preparation & Feature Engineering, How is Data Labeling & Annotation evaluated in practice, What tools are commonly used for Data Labeling & Annotation

AI Data Preparation & Feature Engineering topics: Data Cleaning for AI Models Handling Missing Data Feature Scaling & Normalization
All 7 Data Labeling & Annotation questions