🗑️ Garbage Overflow Detection using YOLOv8 🚀

This project uses YOLOv8 to detect overflowing garbage bins and send alerts. It processes video feeds in real-time using a trained object detection model.

📌 Features

✅ Detects garbage bins and identifies overflowing waste.
✅ Uses YOLOv8 for object detection.
✅ Processes video feeds from webcams or CCTV cameras.
✅ Can be integrated with alert systems (SMS, notifications).

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🔧 Setup Instructions

1️⃣ Clone the Repository

git clone https://github.com/yourusername/garbage-overflow-detection.git
cd garbage-overflow-detection

2️⃣ Install Dependencies

Ensure you have Python 3.8+ installed, then run:

pip install -r requirements.txt

3️⃣ Download the Dataset & Model

We use Roboflow to manage datasets. To download, first install the API:

pip install roboflow ultralytics opencv-python matplotlib

Then, modify waste_detection.py with your Roboflow API key and dataset details.

from roboflow import Roboflow
rf = Roboflow(api_key="YOUR_API_KEY")  
project = rf.workspace().project("YOUR_PROJECT_NAME")  
dataset = project.version("1").download("yolov8")

4️⃣ Run the Detection Script

Run the YOLOv8 model on your webcam or video feed:

python waste_detection.py

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🎥 How It Works

1. Captures video from your webcam (or file).
2. Runs YOLOv8 object detection on each frame.
3. Identifies overflowing garbage bins.
4. Displays detections and highlights full bins.

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🛠️ Customize & Improve

Want to make it better? Try these:
✨ Train a custom YOLOv8 model with more images.
🔗 Integrate SMS/email alerts when bins overflow.
🌡️ Deploy on a Raspberry Pi for real-world use.

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🤝 Contributing

Got ideas or improvements? Feel free to fork this repo, make changes, and submit a pull request!

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🐟 License

This project is open-source under the MIT License. Feel free to use and improve it!

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🚀 Let's Keep Our Campus Clean! 🌱♻️