Datasets:

Project-AgML
/

guava_disease_classification

configs:
  - config_name: raw
    default: true
    data_dir: raw
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': Anthracnose
              '1': Canker
              '2': Dot
              '3': Healthy
              '4': Rust
              '5': Scab
              '6': Styler end root
      - name: plant_part
        dtype: string
  - config_name: augmented
    data_dir: augmented
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': Anthracnose
              '1': Canker
              '2': Dot
              '3': Healthy
              '4': Rust
              '5': Scab
              '6': Styler end root
      - name: plant_part
        dtype: string
license: cc-by-4.0
task_categories:
  - image-classification
size_categories:
  - 10K<n<100K

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