Datasets:

Project-AgML
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guava_disease_classification

image imagewidth (px) 1.57k 5.71k	label class label 7 classes	plant_part stringclasses 2 values
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End of preview. Expand in Data Studio

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

@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

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