Data Annotation
The process of adding labels, descriptions, or additional information to data, usually for the purpose of training machine learning models or for improved data organization and analysis. Data annotation can be performed manually by human annotators, or automatically using algorithms and machine learning models. The annotations may be in the form of bounding boxes, text labels, categories, or numerical values, and can range from simple to complex, depending on the task at hand.
