datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
grape_leaf_disease_classification
Grape Leaf Disease Classification
A dataset for image classification of Grape Leaf Disease. The dataset contains 2,726 images across 4 classes: Bacterial Leaf Spot, Downy Mildew, Healthy Leaves, Powdery Mildew.
Images per class:
Bacterial Leaf Spot: 100
Downy Mildew: 966
Healthy Leaves: 1,254
Powdery Mildew: 406
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{dharrao2025grapes,
title={Grapes… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/grape_leaf_disease_classification.grapevine_esca_classification
Grapevine Esca Classification
A dataset for disease classification of grapevine leaves. The dataset contains 1,770 images across 2 classes: esca, healthy.Images per class:
esca: 888
healthy: 882
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{alessandrini2021grapevine,
title={A grapevine leaves dataset for early detection and classification of esca disease in vineyards through machine learning}… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/grapevine_esca_classification.grape-leaf-disease-augmented-dataset
🍇🍃 Grape Leaf Disease Augmented Dataset`
Information
This dataset consists of 18,054 grape leaf images across 4 class (ESCA, Leaf Blight, Black Rot, Healthy) for use in image classification tasks.
Dataset has been created as a modification to the original dataset from the PlantVillage dataset: https://www.kaggle.com/datasets/abdallahalidev/plantvillage-dataset
The images have been used from this dataset:… See the full description on the dataset page: https://huggingface.co/datasets/adamkatchee/grape-leaf-disease-augmented-dataset.grapevine_development_stage_classification
Grapevine Development Stage Classification
A dataset for BBCH classification of grapevine development. The dataset contains 3,993 images across 4 classes: 71_73, 75, 77, 79.Images per class:
71_73: 975
75: 726
77: 1,200
79: 1,092
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
The original train/test/val split has been preserved in the split column.
Citation
@article{schieck2023comparison,
title={Comparison of… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/grapevine_development_stage_classification.grapevine_disease_classification
Grapevine Disease Classification
A dataset for disease classification of grapevines. The dataset contains 611 images across 4 classes and 4 grape varieties:
Images per class:
conf: 199
conf+: 77
esca: 107
fd: 228
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{tardif2023expertized,
title={An expertized grapevine disease image database including five grape varieties focused on Flavescence… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/grapevine_disease_classification.grape_variety_classification
Grape Variety Classification
A dataset for variety classification of Grape leaves. The dataset contains 8,000 images across 8 classes:Images per class:
Aswud Balad: 1,000
Deas Al-Annz: 1,000
Frinsi: 1,000
Halawani: 1,000
Kamali: 1,000
Riasi: 1,000
Shdah: 1,000
Thompson Seedless: 1,000
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{al2023image,
title={Image dataset of important grape varieties in… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/grape_variety_classification.