Datasets:

Project-AgML
/

grape_leaf_disease_classification

configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: cc-by-4.0
task_categories:
  - image-classification
size_categories:
  - 1K<n<10K
dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': Bacterial Leaf Spot
            '1': Downy Mildew
            '2': Healthy Leaves
            '3': Powdery Mildew
  splits:
    - name: train
      num_bytes: 23115723
      num_examples: 2726
  download_size: 26036859
  dataset_size: 23115723

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 leaf disease dataset for precision agriculture},
  author={Dharrao, Madhuri and Zade, Nilima and Kamatchi, R and Sonawane, Rakesh and Henry, Rabinder and Dharrao, Deepak},
  journal={Data in Brief},
  volume={61},
  pages={111716},
  year={2025},
  publisher={Elsevier}
}```

Dharrao, Madhuri; Dharrao, Deepak; Sonawane, Rakesh; zade, Nilima (2025), “Niphad Grape Leaf Disease Dataset (NGLD)”, Mendeley Data, V5, doi: 10.17632/8nnd2ypcv3.5