| --- |
| configs: |
| - config_name: augmented |
| data_files: |
| - split: train |
| path: augmented/train-* |
| - config_name: raw |
| data_dir: raw |
| default: true |
| license: cc-by-4.0 |
| task_categories: |
| - image-classification |
| size_categories: |
| - 10K<n<100K |
| dataset_info: |
| - config_name: augmented |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Healthy Fruits |
| '1': Healthy Leaves |
| '2': Insect Hole leaves |
| '3': Unhealthy Fruits |
| '4': Yellow Leaves |
| splits: |
| - name: train |
| num_bytes: 3800806215 |
| num_examples: 15000 |
| download_size: 4049791940 |
| dataset_size: 3800806215 |
| - config_name: raw |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Healthy Fruits |
| '1': Healthy Leaves |
| '2': Insect Hole leaves |
| '3': Unhealthy Fruits |
| '4': Yellow Leaves |
| splits: |
| - name: train |
| num_bytes: 2036175726 |
| num_examples: 2618 |
| download_size: 2582962450 |
| dataset_size: 2036175726 |
| --- |
| |
| # 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 |
