Datasets:

Project-AgML
/

java_plum_leaf_disease_classification

dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': Bacterial_Spot
            '1': Brown_Blight
            '2': Dry
            '3': Healthy
            '4': Powdery_Mildew
            '5': Sooty_Mold
  splits:
    - name: train
      num_bytes: 114997934
      num_examples: 2400
  download_size: 114274185
  dataset_size: 114997934
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Java Plum Leaf Disease Classification

A dataset for disease classification of Java Plum leaves. The dataset contains 2,400 images across 6 classes: Bacterial_Spot, Brown_Blight, Dry, Healthy, Powdery_Mildew, Sooty_Mold.
Images per class:

Bacterial_Spot: 400
Brown_Blight: 400
Dry: 400
Healthy: 400
Powdery_Mildew: 400
Sooty_Mold: 400

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

@article{bhowmik2024customised,
  title={A customised Vision Transformer for accurate detection and classification of Java Plum leaf disease},
  author={Bhowmik, Auvick Chandra and Ahad, Md Taimur and Emon, Yousuf Rayhan and Ahmed, Faruk and Song, Bo and Li, Yan},
  journal={Smart Agricultural Technology},
  volume={8},
  pages={100500},
  year={2024},
  publisher={Elsevier}
}

Bhowmik, Auvick Chandra; Ahad, Taimur (2024), “Java Plum Leaf Disease Dataset”, Mendeley Data, V3, doi: 10.17632/43d75vptz4.3