annotation strategies

Annotation strategies involve methods used to add meaningful notes or labels to data, such as text, images, or videos, to help computers understand and analyze them. These strategies can include highlighting important parts, categorizing content, or marking specific features. The goal is to ensure the annotations are accurate, consistent, and relevant to the task, like identifying objects in photos or understanding sentiment in reviews. Effective annotation strategies improve the quality of data used to train machine learning models, leading to better performance and more reliable results.