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.


Quality Check

The quality of a product, service, or system to ensure that it meets certain standards and specifications. To identify and correct defects or problems that may affect the performance, reliability, or safety of a product. Manual inspection, automated testing, or a combination of both, and may include checks for functionality, performance, usability, security, and other aspects.