Data Annotation
Data annotation is the process of enriching raw data with structured metadata — labels, tags, transcriptions, relationships, or attributes — so it can be used to train, evaluate, or fine-tune machine learning models.
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Glossary Terms(3)
Data Labeling
Data labeling is the process of assigning informative tags, categories, or ground-truth values to raw data so it can be used to train supervised machine learni…
Data Annotation
Data annotation is the process of enriching raw data with structured metadata — labels, tags, transcriptions, relationships, or attributes — so it can be used…
Human-in-the-Loop
Human-in-the-loop (HITL) is a machine learning design pattern in which human judgment is deliberately incorporated into a model's training, evaluation, or infe…