| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': green |
| '1': mature-green |
| '2': ripe |
| - name: variety |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 372990830 |
| num_examples: 2309 |
| download_size: 393008275 |
| dataset_size: 372990830 |
| 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 |
| --- |
| # Guava Maturity Classification |
|
|
| A dataset for maturity classification of three varieties of guava. The dataset contains 2,309 images across 3 classes: green, mature-green, ripe. |
| Images per class: |
| - green: 232 |
| - mature-green: 829 |
| - ripe: 1,248 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{maitlo2023novel, |
| title={A novel dataset of guava fruit for grading and classification}, |
| author={Maitlo, Abdul Khalique and Aziz, Abdul and Raza, Hassnian and Abbas, Neelam}, |
| journal={Data in Brief}, |
| volume={49}, |
| pages={109462}, |
| year={2023} |
| } |
| ``` |
|
|
| Maitlo, Abdul Khalique; Aziz, Abdul; Raza, Hassnain ; Abbas, Neelam (2023), “Guava Fruit Dataset for Classification ”, Mendeley Data, V1, doi: 10.17632/w3fg8jjmzr.1 |
|
|
| *This dataset was reformatted from its original format to match HuggingFace standards.* |
