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
from ultralytics import YOLO
from PIL import Image
img = Image.open('<image-path>')
model = YOLO('<weights-path>')
results = model(img)
Results
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:
@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}
}