datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
PriBel_betel_leaf_disease_classification
PriBel Betel Leaf Disease Classification
A dataset for disease classification of betel leaves. The dataset contains 1,800 images across 3 classes: Diseased, Dried, Healthy.Images per class:
Diseased: 509
Dried: 622
Healthy: 669
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{mane2025pribel,
title={PriBeL: A primary betel leaf dataset from field and controlled environment},
author={Mane, Gauri… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/PriBel_betel_leaf_disease_classification.betel_leaf_disease_classification
Betel Leaf Disease Classification
A dataset for image classification of Betel Leaf Disease Classification. The dataset contains 3,589 images across 4 classes: Bacterial_Leaf_Disease, Dried_Leaf, Fungal_Brown_Spot_Disease, Healthy_Leaf.Images per class:
Bacterial_Leaf_Disease: 906
Dried_Leaf: 898
Fungal_Brown_Spot_Disease: 892
Healthy_Leaf: 893
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
Rashid, Mohammad… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/betel_leaf_disease_classification.betel-leaf
Betel Leaf Prices — Nan Witt Yee Market, MaLeTha Village, Myanmar
Daily betel leaf market prices from the Nan Witt Yee market in MaLeTha Village, Ayadaw Township, Sagaing Region, Myanmar, covering 2024-04-01 to 2026-03-20. Each day includes three price observations, one per leaf grade (Small / Normal / Big), along with calendar, seasonal, and festival context. The Market column value MALETHA refers to the village, not the market's proper name.
Full methodology, validation, and… See the full description on the dataset page: https://huggingface.co/datasets/aungthuhein-dev/betel-leaf.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… See the full description on the dataset page: https://huggingface.co/datasets/KaveenDeshapriya/betel-leaf-disease.betel_leaf_disease_classification_2
Betel Leaf Classification
A dataset for image classification of Betel Leaf. The dataset contains raw and augmented versions.The raw dataset contains 2,037 images.Images per class:
Healthy_Leaf: 1,080
Leaf_Rot: 269
Leaf_Spot: 688
The augmented dataset contains 10,185 images.Images per class:
Healthy_Leaf: 5,400
Leaf_Rot: 1,345
Leaf_Spot: 3,440
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/betel_leaf_disease_classification_2.