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-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.