Provided is a data augmentation system including at least one processor, the at least one processor being configured to: input, to a machine learning model configured processor to perform recognition, input data; identify a feature portion of the input data to serve as a basis for recognition by the machine learning model in which the input data is used as input; acquire processed data by processing at least a part of the feature portion; and perform data augmentation based on the processed data.