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Data annotation is a process of tagging raw data with relevant information or metadata to make it comprehensible and usable for machine learning algorithms. Data annotation is the process of labeling data to make it recognizable and usable for machine learning models To sum up, data annotation is a critical component in the field of machine learning, enabling ai systems to understand and interpret raw data It involves the process of labeling or tagging data, which can be in various forms, such as text, images, or audio, to make it meaningful for ai models.
It involves tagging datasets with meaningful labels to make them understandable for machine learning algorithms.
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