Plant Image Classification Dataset
13.7K labeled images
Free download
13.7K+ labeled plant 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 Plant image dataset.
Categories in this dataset
Great masterwortPurple coneflowerBishop of llandaffPotArtichoke flowerGazaniaSnapdragonColts footCanterbury bellsHouse plantCanna lilyCarnationBlanket flowerPetuniaGlobe thistleWatercressButtercupBird of paradise flowerTiger lilyCyclamenWindflowerBlackberry lilyGrape hyacinthPink primroseHippeastrumFritillaryBougainvilleaBalloon flowerStemless gentianRapeseedFire lilyGarden phloxGrassKing proteaLove in the mistWallflowerTree mallowHibiscusPoinsettiaJoshua treeSword lilySunflowerLotusPincushion flowerGeraniumPink yellow dahliaSpear thistleOrange dahliaMallowRed gingerBlack eyed susanTrumpet creeperPeruvian lilyLenten roseThorn applePrince of wales feathersSpring crocusPelargoniumCalifornian poppyMagnoliaRuby lipped cattleyaGiant white arum lilyMarigoldDaffodilAzaleaCamelliaGlobe flowerJapanese anemonePalm treeCautleya spicataOxeye daisyBushPassion flowerAnthuriumBarbeton daisyBee balmBonsaiHard leaved pocket orchidToad lilyDaisyMexican petuniaCardoonClematisEnglish marigoldCape flowerYellow irisCactusSweet williamTree poppyBearded irisSilverbushBromeliaBall mossDesert roseMorning gloryAlpine sea holly
Tags
Plant labeled image dataset
Plant photos
Plant pictures
Plant images
Plant dataset
Plant image dataset
Data sources
What you get
Plant 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.