| --- |
| 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 |
|
|
| ```bibtex |
| @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 |
