---
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