AugLy, a new open source Python library that helps AI researchers to make use and create data augmentations to improve the robustness of their created machine learning models. Augmentations can include a wide variety of modifications to a dataset, ranging from cropping a photo to changing the pitch of a voice recording. In addition, AugLy provides sophisticated data augmentation tools to create samples to train and test different systems. AugLy currently supports four modalities, namely audio, image text and video and over 100 other augmentations. Each modality’s augmentations are contained within its sub-library. These sub-libraries can help perform both function-based, and class-based transforms, composition operators and are also available with an option to provide metadata about the transformation applied.

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