Butterfly Image Classification Dataset
21K labeled images
Free download
21K+ labeled butterfly images ready for AI and computer vision research. Delivered as an ImageFolder-style ZIP with train / val / test splits and class-labeled folders. Review the source license before use. Compatible with PyTorch, TensorFlow, Keras, and any classification pipeline.
Browse a selection of samples from the Butterfly image dataset.
Categories in this dataset
SootywingLongSpottedAdonisClodiusScarceChestnutIndraViceroyCloakCloudedCrimsonYellowTwoAdmiralRedOrchardMark butterflyComaPatchWingMonarchUlysesMangroveEasternBlackSouthernSixspotBeckersStraitedParnassianLargeSulphurJuliaSatyrQuestionSkipperFlasherGreyOakleafTipHairstreakGoldRingletBanded butterflyPurpleBarredLadySwallowWhitePipevineCabbage butterflyMalachiteMothPineEggflyPainted butterflyGreatZebra butterflySulphur butterflyMetalmarkCopperMorningKiteMoths and butterfliesCrecentOrange butterflyQueenSpotSnootLycaenidMarble88Silver
Tags
Butterfly labeled image dataset
Butterfly photos
Butterfly pictures
Butterfly images
Butterfly dataset
Butterfly image dataset
Data sources
What you get
Butterfly classification dataset, ready to train
Clean folder layout
`train` / `val` / `test` sub-folders per class plus a `meta.json` with label list, split counts, and ImageNet normalization constants — ready for `torchvision.datasets.ImageFolder`.
Your choices, your ZIP
Pick output size, color mode, train/val/test split, and 20 augmentations. The ZIP is built for your exact setup.
Research-friendly
BibTeX citation per dataset and a Colab starter notebook. No signup required to download.
Framework-agnostic
PyTorch, TensorFlow, Ultralytics — pick any. Standard ImageFolder layout works out of the box.
Ready to train?
Configure the split and augmentations, then grab the ZIP.