mdbloice/Augmentor

Health v2 · maintenance only

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Adoption not part of the score

5133 stars · 870 forks observed · 2026-08-28

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

Augmentor is a standalone Python library for image augmentation in machine learning, providing a pipeline of stochastic operations like rotations and transforms to artificially expand image datasets. It is platform and framework independent, allowing fine-grained control over augmentation techniques.

Use cases

• augment image datasets for training neural networks
• generate artificial training images for deep learning
• build a pipeline of image transformations like rotations and flips
• expand a small image dataset for machine learning
• apply stochastic image augmentations framework-independently

When to choose

• you need a simple, framework-independent image augmentation library in Python
• you want fine-grained control over augmentation operations via a pipeline
• you need to expand image datasets for deep learning models

When to avoid

• you need GPU-accelerated or real-time augmentation integrated into a deep learning framework
• you need augmentation for non-image data types
• you require very recent features or active development

Facets

library · maturity maintenance

image-processing machine-learning data-generation machine-learning deep-learning image-processing data-science python cross-platform image-augmentation data-augmentation pipeline computer-vision dataset-expansion

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