LibreYOLO/imagenette160

Imagenette 160 (LibreYOLO)

A LibreYOLO-hosted copy of Imagenette — 10 easily-classified ImageNet classes at 160 px — for classification training, validation, and benchmarking.

Provenance

Rebuilt from the canonical upstream, not from any third-party repackaging:

• Source: https://s3.amazonaws.com/fast-ai-imageclas/imagenette2-160.tgz (fast.ai, Apache-2.0)
• Source sha256: 64d0c4859f35a461889e0147755a999a48b49bf38a7e0f9bd27003f10db02fe5
• Transform: extracted and repackaged .tgz -> .zip, preserving the original train/val/<wordnet_id> ImageFolder layout. No relabeling, no third-party assets.

Contents

imagenette160.zip — ImageFolder layout:

• train/<wnid>/*.JPEG — 9,469 images
• val/<wnid>/*.JPEG — 3,925 images

10 classes (folders are WordNet IDs):

• n01440764 — tench
• n02102040 — English springer
• n02979186 — cassette player
• n03000684 — chain saw
• n03028079 — church
• n03394916 — French horn
• n03417042 — garbage truck
• n03425413 — gas pump
• n03445777 — golf ball
• n03888257 — parachute

Use with LibreYOLO

from libreyolo import LibreYOLO
model = LibreYOLO("LibreMobileNetV4s-cls.pt")
model.val(data="imagenette160")   # auto-downloads this dataset

License

Apache-2.0, inherited from upstream Imagenette (fast.ai).