KaveenDeshapriya/betel-leaf-disease

Betel Leaf Disease Dataset

Image classification dataset of betel (Piper betle) leaves for detecting common diseases, plus an unknown class of non-betel images used to make classifiers reject out-of-distribution inputs.

Classes & counts

class	images
bacterial_leaf_blight	3,958
healthy_leaf	3,826
leaf_brown_spot	3,752
leaf_rot	2,538
unknown	4,040

Total: 18,114 images

Structure

Standard 🤗 ImageFolder layout — one sub-folder per class under data/.

data/
  bacterial_leaf_blight/
  healthy_leaf/
  leaf_brown_spot/
  leaf_rot/
  unknown/

Usage

from datasets import load_dataset

ds = load_dataset("KaveenDeshapriya/betel-leaf-disease")
print(ds)
print(ds["train"].features["label"].names)

Notes

• The unknown class contains assorted non-leaf images (vehicles, animals, flowers, etc.) used as negative / out-of-distribution samples.
• Recommended split: 70% train / 15% validation / 15% test (seed 42).

License

Released under cc-by-4.0.