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An open-source library from Facebook called Augly is a data augmentation library that can help you evaluate and improve the robustness of your models. The library was developed by Joanna Bitton — a software Engineer at Facebook AI, Zoe Papakipos — Research Engineer at FAIR, and other researchers and engineers at Facebook. The library supports four modalities (audio, video, image, and text) and it contains over 100 ways to perform data augmentations. It has been used in different projects such as:Image Similarity Challenge - a NeurIPS 2021 competition run by Facebook AI with $200k in prizes.
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