Labeling

Labeling, in the context of machine learning, is the fundamental process of identifying raw data (such as images, text files, audio recordings, or videos) and adding one or more meaningful, informative tags or annotations to it. This process creates the "ground truth" that machine learning models, particularly those based on supervised learning, use to learn patterns and make accurate predictions. Without properly labeled data, many AI systems would be unable to learn to perform their intended tasks.