In data or image labeling, individuals meticulously analyze and annotate various data or images according to specific guidelines or requirements. This involves identifying and labeling objects, regions, or features of interest within the data or images, ensuring accuracy and consistency. The goal is to provide labeled datasets that can be utilized for machine learning model training, enabling accurate interpretation and understanding of the data by algorithms.