Data annotation is the process of labeling or tagging data to provide context, structure, and meaning, making it usable for machine learning, artificial intelligence (AI), and data analysis tasks. It involves adding descriptive tags, labels, or metadata to raw data, such as text, images, videos, or audio. Annotated data is crucial for training AI models, as it allows the models to "learn" patterns and make predictions or decisions based on that labeled data.Key Types of Data Annotation: Text Annotation: Image Annotation Video Annotation Audio Annotation