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Project-AgML/guava_disease_classification_bangladesh

Guava Disease Classification Bangladesh A dataset for image classification of Guava Disease Classification Bangladesh. The dataset contains raw and augmented versions.The raw dataset contains 527 images.Images per class: Disease Free: 126 Phytopthora: 114 Red rust: 87 Scab: 106 Styler and Root: 94 The augmented dataset contains 4,899 images.Images per class: Disease Free: 876 Phytopthora: 942 Red rust: 1,154 Scab: 864 Styler and Root: 1,063 This dataset is indexed on… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/guava_disease_classification_bangladesh.

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Guava Disease Classification Bangladesh

A dataset for image classification of Guava Disease Classification Bangladesh. The dataset contains raw and augmented versions. The raw dataset contains 527 images. Images per class:

—Disease Free: 126
—Phytopthora: 114
—Red rust: 87
—Scab: 106
—Styler and Root: 94

The augmented dataset contains 4,899 images. Images per class:

—Disease Free: 876
—Phytopthora: 942
—Red rust: 1,154
—Scab: 864
—Styler and Root: 1,063

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

Citation

bibtex

@article{rajbongshi2022comprehensive,
  title={A comprehensive guava leaves and fruits dataset for guava disease recognition},
  author={Rajbongshi, Aditya and Sazzad, Sadia and Shakil, Rashiduzzaman and Akter, Bonna and Sara, Umme},
  journal={Data in Brief},
  volume={42},
  pages={108174},
  year={2022},
  publisher={Elsevier}
}

Rajbongshi, Aditya; Sazzad, Sadia ; Shakil, Rashiduzzaman; Akter, Bonna ; Sara, Umme (2022), “Guava Leaves and Fruits Dataset for Guava Disease Recognition through Machine Learning and Deep Learning”, Mendeley Data, V1, doi: 10.17632/x84p2g3k6z.1

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