What Is Data Annotation ? A Complete Guide to How AI Learns from Labeled Data
Data annotation is the foundation of every supervised AI system. It converts raw images, text, audio or sensor signals into structured, machine-readable training data that models can learn from. This article explains what data annotation means, how it works, why it matters for model accuracy, and how organizations build reliable annotation pipelines. You will also learn where annotation fits in the machine learning lifecycle, which industries rely on it most, and how human expertise remains essential even as automation improves.
