facebookresearch/AugLy

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

5089 stars · 311 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

AugLy is a Python data augmentation library from Meta AI supporting audio, image, text, and video with over 100 augmentations. It focuses on real-world 'internet user' transforms like memes, emoji overlays, and screenshots, useful for training robust models and evaluating robustness gaps.

Use cases

• augment training data for image classification models
• evaluate model robustness against real-world content modifications
• generate meme-like and screenshot transforms for copy detection research
• augment text data for hate speech detection models
• apply multimodal augmentations combining text, image, audio, and video
• simulate social media reposting effects on media

When to choose

• you need augmentations across multiple modalities in one unified API
• you want internet-platform-style transforms like emoji overlays and screenshots
• you are researching copy detection, copyright infringement, or content moderation robustness
• you need metadata about applied transforms including intensity

When to avoid

• you only need basic standard augmentations available in your deep learning framework
• you work outside Python
• you need GPU-accelerated batch augmentation pipelines at scale
• you need a GUI-based augmentation tool

Facets

library · maturity stable

machine-learning image-processing audio-processing video-processing nlp data-generation machine-learning deep-learning computer-vision data-science python cross-platform data-augmentation multimodal robustness-evaluation meta-ai meme-transforms copy-detection natural-language-processing audio video

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