training
Active Learning
A machine learning approach where the model selects the most informative unlabeled examples for human annotation, minimizing the amount of labeled data needed. Active learning reduces annotation costs by focusing human effort on the most useful examples.
In practice
An active learning system might select ambiguous images near decision boundaries for human labeling rather than obvious examples.