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Project-AgML/banana_leaf_disease_classification

Banana Leaf Disease Classification A dataset for disease classification of Banana Leaves. The dataset contains 1,288 images across 3 classes: healthy, segatoka, xamthomonas.Images per class: healthy: 154 segatoka: 320 xamthomonas: 814 This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. Citation @article{genet2024sigatoka, title={Sigatoka and xanthomonas banana leaf disease detection via transfer learning}… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/banana_leaf_disease_classification.

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Banana Leaf Disease Classification

A dataset for disease classification of Banana Leaves. The dataset contains 1,288 images across 3 classes: healthy, segatoka, xamthomonas. Images per class:

—healthy: 154
—segatoka: 320
—xamthomonas: 814

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

Citation

bibtex

@article{genet2024sigatoka,
  title={Sigatoka and xanthomonas banana leaf disease detection via transfer learning},
  author={Genet, Yordanos Hailu and Sinshaw, Natnael Tilahun and Assefa, Beakal Gizachew and Mohapatra, Sudhir Kumar},
  journal={Scientia Iranica},
  volume={31},
  number={21},
  pages={1939--1947},
  year={2024},
  publisher={Sharif University of Technology}
}

hailu, yordanos (2021), “Banana Leaf Disease Images”, Mendeley Data, V1, doi: 10.17632/rjykr62kdh.1