| --- |
| 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.* |
