AI Glossary Term

What does “Data Labeling” mean?

Definition

The process of assigning tags or target outputs to raw data for supervised learning.

Browse the full AI GlossaryExplore all free AI guides

How Data Labeling works

Diagram for Data Labeling, a repeating loop: Collect raw data; then People assign labels; then Review and resolve disagreements; then Train on labeled data; then Find weak spots, label more; then back to the start.Collect raw dataPeople assign labelsReview and resolve disagreementsTrain on labeled dataFind weak spots, label morerepeat

Example

To build a sentiment classifier for product reviews, people read thousands of reviews and mark each as positive, negative, or neutral. Where two labelers disagree, a reviewer decides, and the final labels become the answers the model learns from.

Why it matters

In supervised learning the labels define what the model learns. Inconsistent or wrong labels teach the wrong lessons.

Common questions

How many labels do I need?

It depends on the task and model. Pre-trained models often need far fewer labeled examples than training from scratch.

Can AI help with labeling?

Yes. Models can pre-label data for people to correct, which speeds things up, though humans still need to check quality.

What makes labeling quality high?

Clear instructions, trained labelers, multiple opinions on hard items, and regular spot checks.

Related terms

Unsupervised LearningLearning patterns from unlabeled data without explicit target outputs.Algorithmic BiasSystematic unfairness in model outputs caused by skewed data, assumptions, or modeling choices.Feature ExtractionConverting raw data into informative features that a model can use.Multimodal ModelA model that can process or generate multiple data types such as text, image, and audio.Self-Supervised LearningLearning representations from unlabeled data by predicting masked or transformed parts.Supervised LearningTraining a model with labeled examples that map inputs to known outputs.

Learn more in our free guides

AI & DataVector DatabasesSynthetic DataAI Data Governance

Test yourself

AI & Data QuizVector Databases QuizSynthetic Data Quiz

See also

Data DriftDatasetData AugmentationDecision BoundaryCross-Entropy LossDecision TreeConvolutional Neural Network (CNN)Deep Learning