DeepVoltaire/AutoAugment

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1493 stars · 202 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An unofficial Python implementation of the AutoAugment data augmentation policies learned for ImageNet, CIFAR-10, and SVHN, built on Pillow. It provides drop-in transforms for PyTorch data pipelines to improve image classifier accuracy.

Use cases

• apply autoaugment policies to pytorch image training
• improve image classifier accuracy with data augmentation
• use imagenet augmentation policy on custom dataset
• augment cifar10 training images
• reproduce autoaugment paper results

When to choose

• you train image classification models in PyTorch and want the AutoAugment policies as a simple transform
• you want a lightweight Pillow-based implementation without heavy dependencies

When to avoid

• you need augmentation policies for non-image modalities
• you need actively maintained features or support for newer torchvision APIs
• you want automatically learned policies rather than the fixed published ones

Facets

library · maturity maintenance

image-processing machine-learning deep-learning computer-vision image-processing deep-learning machine-learning python data-augmentation autoaugment pytorch pillow image-classification

Member repositories

For agents

markdown · JSON · MCP: product_card(name="DeepVoltaire/AutoAugment")