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Project-AgML/guava_disease_classification

Guava Disease Classification A dataset for disease classification of guava fruits and leaves. The dataset contains raw and augmented versions.The raw dataset contains 3,049 images.Images per class: Anthracnose: 500 Canker: 192 Dot: 219 Healthy: 1,590 Rust: 167 Scab: 119 Styler end root: 262 The augmented dataset contains 20,344 images.Images per class: Anthracnose: 4,026 Canker: 1,344 Dot: 1,533 Healthy: 8,724 Rust: 1,169 Scab: 1,190 Styler end root: 2,358 This dataset is… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/guava_disease_classification.

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Dataset Card

Guava Disease Classification

A dataset for disease classification of guava fruits and leaves. The dataset contains raw and augmented versions. The raw dataset contains 3,049 images. Images per class:

—Anthracnose: 500
—Canker: 192
—Dot: 219
—Healthy: 1,590
—Rust: 167
—Scab: 119
—Styler end root: 262

The augmented dataset contains 20,344 images. Images per class:

—Anthracnose: 4,026
—Canker: 1,344
—Dot: 1,533
—Healthy: 8,724
—Rust: 1,169
—Scab: 1,190
—Styler end root: 2,358

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

Citation

bibtex

@article{shihab2025image,
  title={Image dataset for classification of diseases in guava fruits and leaves},
  author={Shihab, Montasir Rahman and Saim, Nafiu Islam and Mojumdar, Mayen Uddin and Raza, Dewan Mamun and Siddiquee, Shah Md Tanvir and Noori, Sheak Rashed Haider and Chakraborty, Narayan Ranjan},
  journal={Data in Brief},
  volume={59},
  pages={111378},
  year={2025},
  publisher={Elsevier}
}

Shihab, Md Montsir Rahman; Saim, Nafiu Islam; Mojumdar, Mayen Uddin (2024), “Image Dataset for Detection and classification of Diseases of Guava Fruits and Leaves ”, Mendeley Data, V1, doi: 10.17632/fspx44mwfp.1