Project-AgML/carambola_disease_classification

Carambola Disease Classification

A dataset for disease classification of Carambola fruits and leaves. The dataset contains raw and augmented versions.
The raw dataset contains 2,618 images.
Images per class:

• Healthy Fruits: 485
• Healthy Leaves: 658
• Insect Hole leaves: 518
• Unhealthy Fruits: 478
• Yellow Leaves: 479

The augmented dataset contains 15,000 images.
Images per class:

• Healthy Fruits: 3,000
• Healthy Leaves: 3,000
• Insect Hole leaves: 3,000
• Unhealthy Fruits: 3,000
• Yellow Leaves: 3,000

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

Citation

@article{al2025comprehensive,
  title={A comprehensive image dataset for carambola leaf and fruit disease classification and quality assessment},
  author={Al Muhib, SM Abdullah and Nayeem, Rejowan Arifin and Mezi, Noman and Emon, Nafiz Ahmed},
  journal={Data in Brief},
  volume={60},
  pages={111679},
  year={2025},
  publisher={Elsevier}
}

Muhib, S.M. Abdullah Al; Nayeem, Rejowan Arifin; Mezi, Noman; Emon, Nafiz Ahmed (2025), “Carambola Leaf & Fruit Dataset for Disease Detection and Classification”, Mendeley Data, V1, doi: 10.17632/f35jp46gms.1