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Vegetables image dataset preview

Vegetables Image Classification Dataset

19.3K labeled images
Free download
19.3K+ labeled vegetables 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.

Download dataset · 19.3K imagesSupport the project

Browse a selection of samples from the Vegetables image dataset.

Sample 1 – Vegetables
Sample 2 – Vegetables
Sample 3 – Vegetables
Sample 4 – Vegetables
Sample 5 – Vegetables
Sample 6 – Vegetables

Categories in this dataset

Bell pepperCauliflowerRaddishCarrotJalepenoHead cabbageButternut squashPepperCapsicumOnionAsparagusChilliSweetpotatoTurnipGingerZucchiniCornArtichokeBeetrootString beanCabbagePotatoSweetcornEggplantSpinachTomatoLettuceGarlicPeasDamage to cabbage leavesLemonCucumberBroccoli

Tags

Vegetables labeled image dataset
Vegetables photos
Vegetables pictures
Vegetables images
Vegetables dataset
Vegetables image dataset

Data sources

What you get

Vegetables 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.

Download dataset

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