Data Preparation
Augmented Data
Synthetic data created to enhance the diversity and quantity of training datasets.
Expanded definition
Augmented data refers to techniques used to artificially increase the size of a training dataset by creating modified versions of existing data. This can involve transformations like rotation, scaling, or flipping images, or adding noise to data points. By augmenting data, models can learn more robust features and improve their ability to generalize to new, unseen data.
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