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Data annotation is the process of labeling data in various formats to enable machines to understand and process it accurately. Annotated data is an integral part of many machine learning and artificial intelligence applications. At the same time, it is one of the most time-consuming and labor-intensive parts of an ML project, and data annotation is one of the biggest constraints for organizations implementing AI. We'll explore what data labeling is and why it's important. Data annotation is the process of labeling data in various formats to enable machines to understand and process it accurately. What is  Data Labeling  ? Data annotation is the process of labeling data in various formats such as video , image or text so that machines can understand it. For supervised machine learning, labeled datasets are critical because ML models need to understand input patterns to process them and produce accurate results. ML models are trained and learned from properly labele...