fastai/imagenette resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1131 stars · 78 forks observed · 2026-08-28

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

Imagenette is a subset of 10 easily classified ImageNet classes, with companion datasets Imagewoof (10 hard dog breeds) and Image网, provided in full-size, 320px, and 160px variants. It includes CSV files with 1-50% noisy labels and a 70/30 train/validation split, aimed at fast computer vision experimentation and benchmarking.

Use cases

• quickly test image classification models on a small imagenet subset
• benchmark computer vision training recipes without full imagenet
• experiment with learning under label noise using noisy label CSVs
• teach deep learning image classification with a lightweight dataset
• compare model performance on easy (imagenette) vs hard (imagewoof) classes

When to choose

• you need a small, fast image classification dataset for prototyping or education
• you want to benchmark vision models without downloading full ImageNet
• you want to study robustness to label noise

When to avoid

• you need the full 1000-class ImageNet dataset
• you need datasets outside image classification
• you need actively maintained tooling rather than static dataset downloads

Facets

dataset · maturity stable

machine-learning image-processing computer-vision image-processing machine-learning cross-platform image-classification imagenet-subset computer-vision-benchmark noisy-labels fastai

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markdown · JSON · MCP: product_card(name="fastai/imagenette")