Description
AI Buyer Guide for Data Labeling and Annotation Software
Data labeling and annotation are the processes of tagging or annotating raw data (e.g., text, images, audio, video) to make it understandable for machine learning (ML) models. These processes involve identifying, categorizing, and labeling elements in datasets to train algorithms for specific tasks such as classification, prediction, or recognition.
- Data Labeling: Assigning predefined tags or labels to data points (e.g., identifying whether an image contains a car or not).
- Annotation: Adding contextual information or metadata (e.g., bounding boxes around objects, transcriptions for audio).
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