| --- |
| 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': Cut |
| '1': Keep |
| splits: |
| - name: train |
| num_bytes: 4766231111 |
| num_examples: 2685 |
| download_size: 4881450853 |
| dataset_size: 4766231111 |
| --- |
| |
| # Banana Bunch Maturity Classification |
|
|
| A dataset for mautrity classification of banana bunches. The dataset contains 2,685 images across 2 classes: Cut, Keep. |
| Images per class: |
| - Cut: 1,143 |
| - Keep: 1,542 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{baglat2025multi, |
| title={A multi-stage dataset for banana bunch detection and harvesting decision support}, |
| author={Baglat, Preety and Mendon{\c{c}}a, F{\'a}bio and Mostafa, Shanawaz and Morgado-Dias, Fernando}, |
| journal={Data in Brief}, |
| pages={112337}, |
| year={2025}, |
| publisher={Elsevier} |
| }``` |
|
|
| Hayat, Ahatsham; Baglat, Preety; Mendonça, Fabio; Mostafa, Sheikh Shanawaz; Morgado-Dias, Fernando (2024), “Banana Bunch Harvesting Dataset”, Mendeley Data, V1, doi: 10.17632/kjrsb7ztr9.1 |
