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guava_disease_classification_bangladesh

image imagewidth (px) 345 4.16k	label class label 5 classes
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	2Red rust
	4Styler and Root
	4Styler and Root
	4Styler and Root
	4Styler and Root
	4Styler and Root
	4Styler and Root
	4Styler and Root
	4Styler and Root
	4Styler and Root
	4Styler and Root
	4Styler and Root
	4Styler and Root
	4Styler and Root

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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

@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.

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