Data Processing
Data Annotation
The process of labeling data for training machine learning models.
Expanded definition
Data annotation involves tagging or labeling data with relevant information that helps machine learning models understand and learn from the data. This process is crucial for supervised learning, where the model learns from labeled examples. Various types of annotations can include image labeling, text tagging, or audio transcription.
Related terms
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