| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: objects |
| struct: |
| - name: bbox |
| list: |
| list: float64 |
| - name: categories |
| list: |
| class_label: |
| names: |
| '0': '0' |
| splits: |
| - name: train |
| num_bytes: 19797911338 |
| num_examples: 2179 |
| download_size: 17716781372 |
| dataset_size: 19797911338 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc-by-4.0 |
| task_categories: |
| - object-detection |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Banana Bunch Detection |
|
|
| A dataset for object detection of Banana bunches. The dataset contains 2,179 images with 3,718 bounding box annotations across 1 category. |
|
|
| 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} |
| } |
| ``` |
|
|
| Baglat, P., Hayat, A., Mostafa, S. S., Mendonça, F.& Morgado Dias, F. (2025). Banana Bunch Dataset: Multi-Field Acquisition with Various Environmental Conditions [Graphic]. Zenodo. https://doi.org/10.5281/zenodo.15642838 |
