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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… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/carambola_disease_classification.

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Dataset Card

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

bibtex

@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