Seonglae Chofacebookresearch/AugLy
AugLy is a data augmentations library that currently supports four modalities ( audio, image, text & video) and over 100 augmentations. Each modality's augmentations are contained within its own sub-library. These sub-libraries include both function-based and class-based transforms, composition operators, and have the option to provide metadata about the transform applied, including its intensity.
https://github.com/facebookresearch/AugLy?utm_source=tldrnewsletter
AugLy: A new data augmentation library to help build more robust AI models
We are open-sourcing AugLy, a new Python library that will help AI researchers use data augmentations to evaluate and improve the robustness of their machine learning models. Augmentations can include a wide variety of modifications to a piece of content, ranging from recropping a photo to changing the pitch of a voice recording.
https://ai.facebook.com/blog/augly-a-new-data-augmentation-library-to-help-build-more-robust-ai-models/
