LineArtImageNet100 v1

Summary

LineArtImageNet100 v1 is a synthetic, validation-only line-art image dataset paired to the ImageNet100 validation split.

Dataset scope

• Split: validation only
• Size: 5,000 images
• Classes: 100 ImageNet classes
• Images per class: 50
• Pairing: exact source-keyed pairing to the ImageNet100 validation inventory

Labels and structure

Labels are inherited from the paired ImageNet100 validation inventory and are stored in val_labels.tsv. The dataset is organized as 100 classes with 50 validation images per class and is designed for exact source-keyed pairing with ImageNet100 validation identities and AbstractImageNet100 v2.

Intended use

The dataset is intended for research evaluation of image classification and out-of-domain behavior on a line-art visual domain using the ImageNet100 label space.

Limitations

• This is a synthetic dataset, not a replacement for natural ImageNet images.
• It contains only the documented 100-class validation release; no training split is provided by this release.
• The repository does not document a public license or redistribution terms for this dataset. Users must obtain the required permissions for the underlying source images, model, and generated artifacts before redistribution.