Project-AgML/BananaLSD_leaf_disease_classification

BananaLDS Leaf Disease Classification

A dataset for disease classification of banana leaves. The dataset contains raw and augmented versions. The raw dataset contains 937 images. Images per class:

• —cordana: 162
• —healthy: 129
• —pestalotiopsis: 173
• —sigatoka: 473

The augmented dataset contains 1,600 images. Images per class:

• —cordana: 400
• —healthy: 400
• —pestalotiopsis: 400
• —sigatoka: 400

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

Citation

@article{arman2023bananalsd,
  title={BananaLSD: A banana leaf images dataset for classification of banana leaf diseases using machine learning},
  author={Arman, Shifat E and Bhuiyan, Md Abdullahil Baki and Abdullah, Hasan Muhammad and Islam, Shariful and Chowdhury, Tahsin Tanha and Hossain, Md Arban},
  journal={Data in Brief},
  volume={50},
  pages={109608},
  year={2023},
  publisher={Elsevier}
}

E Arman, Shifat; Baki Bhuiyan, Md Abdullahil; Abdullah, Hasan Muhammad; Islam, Shariful; Chowdhury, Tahsin Tanha; Hossain, Md. Arban (2023), “Banana Leaf Spot Diseases (BananaLSD) Dataset for Classification of Banana Leaf Diseases Using Machine Learning”, Mendeley Data, V1, doi: 10.17632/9tb7k297ff.1