{"iri":"https://folio.openlegalstandard.org/R9L9Wx0aMach3Vcq9rgrt2w","label":"Data Augmentation","sub_class_of":["https://folio.openlegalstandard.org/RBHMad8oNmYXkYHOHZLCgqv"],"parent_class_of":[],"is_defined_by":null,"see_also":[],"comment":null,"deprecated":false,"preferred_label":null,"alternative_labels":["Augmented Data Generation","Data Enhancement","Dataset Expansion"],"translations":{},"hidden_label":null,"definition":"Data Augmentation is a technique used to enhance the size and quality of a training dataset by applying various transformations and alterations to existing data. This process helps in creating diverse training examples, which improves the robustness and performance of machine learning models.","examples":[],"notes":[],"history_note":null,"editorial_note":null,"in_scheme":null,"identifier":null,"description":null,"source":null,"country":null}