Data Annotation

Data annotation is the process of labeling or tagging data to make it understandable for machine learning models. This often involves adding context or information to various types of data, such as images, text, or audio, so that computers can recognize patterns and learn from them. For example, annotating images might involve identifying objects within pictures, while text annotation might include marking parts of speech. Proper data annotation is crucial for training AI systems to perform tasks like image recognition, natural language processing, and more, enabling them to make accurate predictions or decisions based on new input data.