Data Annotation

Data Annotation is the process of labeling or tagging data to make it understandable and usable for machine learning algorithms. This process involves adding metadata, such as categories, attributes, or annotations, to raw data, such as images, text, audio, or video, to help algorithms learn patterns and make predictions. Data annotation plays a crucial role in training supervised machine learning models by providing labeled examples for the algorithms to learn from.