---
tags:
- coffee
- cherry count
- yield estimate
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- object-detection
- pytorch
library_name: ultralytics
library_version: 8.0.75
inference: false
datasets:
- rgautron/croppie_coffee
model-index:
- name: rgautron/croppie_coffee
  results:
  - task:
      type: object-detection
    dataset:
      type: rgautron/croppie_coffee
      name: croppie_coffee
      split: val
    metrics:
    - type: precision
      value: 0.691
      name: mAP@0.5(box)
license: gpl-3.0
license_link: https://www.gnu.org/licenses/quick-guide-gplv3.html
base_model: Ultralytics/YOLOv8
---
[Croppie](https://croppie.org/) cherry detection model © 2024 by [Alliance Bioversity & CIAT](https://alliancebioversityciat.org/), [Producers Direct](https://producersdirect.org/) and [M-Omulimisa](https://m-omulimisa.com/) is licensed under [GNU-GPLv3](https://www.gnu.org/licenses/quick-guide-gplv3.html)

## General description
Ultralytics' Yolo V8 medium model fined tuned for coffee cherry detection using the [Croppie coffee dataset](https://huggingface.co/datasets/rgautroncgiar/croppie_coffee_ug).

![](images/annotated_1688033955437_.jpg)

**Note: the low visibility/unsure class was not used for model fine tuning**

The predicted numerical classes correspond to the following cherry types:
```
{0: "dark_brown_cherry", 1: "green_cherry", 2: "red_cherry", 3: "yellow_cherry"}
```

## Repository structure

```
.
├── images
│   ├── 1688033955437.jpg  # image for test
│   └── annotated_1688033955437_.jpg
├── model_v3_202402021.pt  # fine tuning of Yolo v8
├── README.md
├── LICENSE.txt # detailed term of the software license
└── scripts
    ├── render_results.py  # helper function to annotate predictions
    ├── requirements.txt  # pip requirements
    └── test_script.py  # test script
```

## Demonstration
Assuming you are in the ```scripts``` folder, you can run ```python3 test_script.py```. This script saves the annotated image in ```../images/annotated_1688033955437.jpg```.

Make sure that the Python packages found in ```requirements.txt``` are installed. In case they are not, simply run ```pip3 install -r requirements.txt```.

## License
[Croppie](https://croppie.org/) cherry detection model © 2024 by [Alliance Bioversity & CIAT](https://alliancebioversityciat.org/), [Producers Direct](https://producersdirect.org/) and [M-Omulimisa](https://m-omulimisa.com/) is licensed under [GNU-GPLv3](https://www.gnu.org/licenses/quick-guide-gplv3.html)

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see <https://www.gnu.org/licenses/>.

The detailed terms of the license are available in the ```LICENSE``` file in the repository.