Data Annotation vs. Labeling: Understanding the Differences In the realm of machine learning and artificial intelligence (AI), data annotation and labeling are essential procedures that provide the basis for training and validating algorithms. In order to allow robots to learn from and make defensible judgments based on the data they analyze, these procedures entail the painstaking assignment of tags, labels, or metadata to raw data.
Data annotation:...
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