Create README.md

# 🌊 AquaClean - YOLOv8 for Aquatic Waste Detection

AquaClean is a custom **YOLOv8-based object detection model** trained to recognize and classify **aquatic waste** such as plastics, bottles, cans, and other debris in marine and freshwater environments.
This project aims to support ocean and river cleaning initiatives by leveraging AI for **environmental monitoring**.

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## 📌 Model Details
- **Architecture**: YOLOv8 (Ultralytics)
- **Framework**: PyTorch
- **Trained by**: [Marino Atohoun](https://huggingface.co/rinogeek)
- **Dataset**: Custom annotated dataset of aquatic waste (plastics, bottles, bags, cans, etc.)
- **Task**: Object Detection

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## 🚀 Usage

You can use the model directly with [Ultralytics YOLOv8](https://docs.ultralytics.com/).

```python
from ultralytics import YOLO

# Load model from Hugging Face Hub
model = YOLO("rinogeek/AquaClean")

# Run inference on an image
results = model("sample_image.jpg")

# Show results
results.show()

README.md

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+---
+language:
+- fr
+base_model:
+- Ultralytics/YOLOv8
+pipeline_tag: object-detection
+tags:
+- climate
+---