| --- |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc-by-4.0 |
| task_categories: |
| - image-classification |
| size_categories: |
| - 1K<n<10K |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Aegle marmelos |
| '1': Black plum |
| '2': Custard Apple |
| '3': Guava |
| '4': Jackfruit |
| '5': Lotkon |
| '6': Lychee |
| '7': Mango |
| '8': Plum |
| '9': Star Fruit |
| splits: |
| - name: train |
| num_bytes: 13373984193 |
| num_examples: 3173 |
| download_size: 10452397888 |
| dataset_size: 13373984193 |
| --- |
| |
| # Fruit Leaf Variety Classification |
|
|
| A dataset for variety classification of fruit leaves. The dataset contains 3,173 images across 10 classes: Aegle marmelos, Black plum, Custard Apple, Guava, Jackfruit, Lotkon, Lychee, Mango, Plum, Star Fruit. |
| Images per class: |
| - Aegle marmelos: 336 |
| - Black plum: 304 |
| - Custard Apple: 304 |
| - Guava: 325 |
| - Jackfruit: 311 |
| - Lotkon: 306 |
| - Lychee: 312 |
| - Mango: 330 |
| - Plum: 302 |
| - Star Fruit: 343 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{abedin2025comprehensive, |
| title={Comprehensive data of 10 fruit leaf classes captured for agricultural AI applications}, |
| author={Abedin, Minhajul and Islam, Sujon and Sultana, Naznin}, |
| journal={Data in Brief}, |
| pages={111879}, |
| year={2025}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Abedin, Minhajul ; Islam, Md. Sujon ; Sultana, Dr. Naznin (2025), “Multi-Class Fruit Leaf Classification Dataset (10 Classes)”, Mendeley Data, V2, doi: 10.17632/4gxzx6h7gv.2 |
