## Overview

Fish Counting is a computer vision task that involves detecting and counting fish in images or video streams. This model is designed to accurately identify and enumerate fish in various aquatic environments.

## How to use

Please download the model weights first

[Counting Model](https://huggingface.co/Raniahossam33/Fish-Counting/blob/main/yolov8n.pt)

[Keypoint Detection Model](https://huggingface.co/Raniahossam33/Fish-Counting/blob/main/yolov8n.pt)


```python
from ultralytics import YOLO
from PIL import Image

img = Image.open('<image-path>')
model = YOLO('<weights-path>')
results = model(img)
```

## Results


<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/6402324afa1acad60064c742/mEDhKQRfaTZbZnYwUDZLD.png" width="800" ></img>
</p>


<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/6402324afa1acad60064c742/6ZRl0O7T6P67usVdMFlpo.png" width="900" ></img>
</p>


## Applications

This fish counting model can be useful in various scenarios, including:
- Monitoring fish populations in aquariums or fish farms
- Ecological studies in natural water bodies
- Automated fish stock assessment

## Citation

If you use this model in your research, please cite:

```bibtex
@article{hossam2024precision,
  title={Precision Aquaculture: An Integrated Computer Vision and IoT Approach for Optimized Tilapia Feeding},
  author={Hossam, Rania and Heakl, Ahmed and Gomaa, Walid},
  journal={arXiv preprint arXiv:2409.08695},
  year={2024},
  doi={10.48550/arXiv.2409.08695}
}
```