Data labeling
This project involves annotating first-person (egocentric) videos captured from the perspective of a person performing everyday tasks. The scope of work includes carefully watching each video, identifying and describing every action performed by the individual, and creating precise temporal segments that mark the start and end of each distinct action. Each segment is labeled with a clear and accurate description of the action being performed, ensuring the data meets the quality standards required for training AI and machine learning models to understand human activity and motion