Data Labeling

Data labeling is the process of adding informative tags or descriptions to raw data, such as images, text, or videos, to help computers understand and analyze it. For example, labeling images with objects like "car" or "tree" allows AI systems to recognize those objects in new images. This process is essential for training machine learning models, enabling them to learn patterns and make accurate predictions or classifications based on the labeled data. In short, data labeling provides the meaningful context that helps machines interpret complex information effectively.