clovaai/CutMix-PyTorch

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1251 stars · 157 forks observed · 2026-08-28

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

Official PyTorch implementation of CutMix, an image data augmentation regularizer that cuts and pastes patches between training images while mixing labels proportionally. It includes training scripts for CIFAR-100 and ImageNet classification and pretrained models.

Use cases

• augment image classification training data with cutmix
• improve cnn classifier generalization and localization
• train imagenet models with regional dropout alternatives
• get cutmix-pretrained backbones for transfer learning
• reproduce iccv 2019 cutmix paper results

When to choose

• training image classifiers in PyTorch and wanting the CutMix regularizer
• seeking better robustness and localization than Cutout or Mixup
• needing pretrained models for downstream detection or captioning tasks

When to avoid

• working outside PyTorch
• needing a maintained library integrated into modern pipelines (repo is research code, last release 2020)
• doing non-image tasks where patch-mixing augmentation does not apply

Facets

library · maturity maintenance

machine-learning deep-learning machine-learning computer-vision image-processing python data-augmentation regularization image-classification pytorch cutmix research-code iccv-2019

Member repositories

For agents

markdown · JSON · MCP: product_card(name="clovaai/CutMix-PyTorch")