Labeled Data

Labeled data refers to data that has already been annotated or categorized with labels or tags that describe the content of the data. This data type is commonly used to train machine learning models for specific tasks, such as image classification, object detection, and natural language processing.

Machine learning algorithms use labels to learn the relationships between the inputs and outputs and to make predictions about new, unseen data. Unlabeled data is typically collected and annotated by human experts, who assign labels to each data sample based on its content.