Label

How it is used

Also a verb: to label data means adding these answers, often done by paid annotators or domain experts. People talk about noisy labels, missing labels and label quality. In statistics the same idea is called the target or dependent variable.

Example sentences

1. About five percent of the labels were wrong, so we sent them back for review.

2. Two radiologists labeled each scan independently.

Common collocations

• noisy labels
• label data
• class label
• label quality

Related terms

• annotationThe work of adding labels or notes to raw data, such as drawing boxes around objects in images or marking the topic of each sentence, so that it can be used for training or evaluation.
• ground truthThe correct, verified answers that a model's outputs are compared with, usually created by careful human labeling or by real measurements.
• supervised learningA type of machine learning in which the model learns from examples that come with correct answers (labels), so that it can predict the answer for new examples.
• featureOne measurable piece of information given to a model as input, for example a customer's age, the number of past orders or the brightness of a pixel.

This word in other fields

The same English word can have a different meaning in another field:

• label · Software Engineering
• label · Food Science & Technology

More terms: Data and Features

• dataset
• training data
• preprocessing
• data augmentation
• class imbalance
• data leakage