Data Labelling is the process of identifying and tagging data samples commonly used in the context of training machine learning (ML) models that is a crucial step for supervised machine learning algorithms. The Data Labelling requires the identification of raw data (e.g., images, text files, videos), and then the addition of one or more labels to that data to specify its context for the models, allowing the machine learning model to make accurate predictions. Without data labels, they would be unable to perform machine learning and artificial intelligence necessary for modern applications.
Related Definitions in the Project: The Project Management; Computer Technology
