Project-AgML/plum_leaf_disease_classification

Plum Leaf Disease Classification

A dataset for image classification of plum leaf disease. 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

This dataset was reformatted from its original format to match HuggingFace standards.