| --- |
| 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': Class_A |
| '1': Class_B |
| '2': Defect |
| - name: crop_type |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 467881435 |
| num_examples: 1748 |
| download_size: 477334142 |
| dataset_size: 467881435 |
| --- |
| |
| # Banana Guava Quality Classification |
|
|
| A dataset for quality classification of bananas and guavas. The dataset contains 1,748 images across 3 classes: Class_A, Class_B, Defect. |
| Images per class: |
| - Class_A: 671 |
| - Class_B: 469 |
| - Defect: 608 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{kumari2024banana, |
| title={Banana and Guava dataset for machine learning and deep learning-based quality classification}, |
| author={Kumari, Abiban and Singh, Jaswinder}, |
| journal={Data in Brief}, |
| volume={57}, |
| pages={111025}, |
| year={2024}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| KUMARI, ABIBAN; Singh, Jaswinder (2024), “Fruits (Banana and Guava) datasets for non-destructive quality classifications”, Mendeley Data, V2, doi: 10.17632/56td5w4wz2.2 |
