Datasets:
File size: 1,365 Bytes
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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 |