Datasets:
File size: 1,484 Bytes
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dataset_info:
features:
- name: image
dtype: image
- name: maturity
dtype: string
- name: variety
dtype: string
- name: objects
struct:
- name: bbox
list:
list: float64
- name: categories
list:
class_label:
names:
'0': Cacao
splits:
- name: train
num_bytes: 5623755048
num_examples: 1254
download_size: 5879636996
dataset_size: 5623755048
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
---
# CocoaMFDB Detection Object Detection
A dataset for detection of cocoa pods. The dataset contains 1,254 images with 1,482 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{ayikpa2023cocoamfdb,
title={CocoaMFDB: A dataset of cocoa pod maturity and families in an uncontrolled environment in C{\^o}te d'Ivoire},
author={Ayikpa, Kacoutchy Jean and Mamadou, Diarra and Ballo, Abou Bakary and Yao, Konan and Gouton, Pierre and Adou, Kablan J{\'e}r{\^o}me},
journal={Data in Brief},
volume={48},
pages={109196},
year={2023},
publisher={Elsevier}
}
```
AYIKPA, Kacoutchy Jean (2022), “CocoaMFDB”, Mendeley Data, V2, doi: 10.17632/9msjjh3np6.2
*This dataset was reformatted from its original format to match HuggingFace standards.* |