AugLy

Creator

Creator

Seonglae Cho

Created

Created

2021 Jun 22 13:33

Editor

Editor

Seonglae Cho

Edited

Edited

2023 Jan 18 22:18

Refs

Refs

facebookresearch/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

facebookresearch/AugLy

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.

AugLy: A new data augmentation library to help build more robust AI models

https://ai.facebook.com/blog/augly-a-new-data-augmentation-library-to-help-build-more-robust-ai-models/

AugLy: A new data augmentation library to help build more robust AI models

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