# 🧪 Test Samples

Welcome! This folder contains sample images you can use to test CleanEye's garbage detection capabilities.

## 📸 Sample Images

We've included 5 diverse test images:

1. **sample_1_bins.jpg** - Garbage and recycle bins
2. **sample_2_bags.jpg** - Black garbage bags
3. **sample_3_pile.jpg** - Large pile of garbage
4. **sample_4_street.jpg** - Street waste scenario
5. **sample_5_plastic.jpg** - Plastic waste accumulation

## 🚀 How to Test

### Option 1: Web Interface (Recommended)
```bash
python start.py
```
Then select option 1 to launch the Streamlit dashboard, and upload any sample image.

### Option 2: Command Line
```bash
# Using the detect script
python code/detect_pro.py --source test_samples/sample_1_bins.jpg

# View all detections
python code/app.py
```

### Option 3: HuggingFace Space
Visit: https://huggingface.co/spaces/AlBaraa63/cleaneye-garbage-detection

Upload any of these samples directly in your browser!

## 🎯 What You'll See

CleanEye will detect and classify:
- 🗑️ **garbage** - General garbage items
- 👜 **garbage_bag** - Plastic waste bags
- 📦 **c** - Containers
- ♻️ **waste** - Waste materials
- 🚮 **trash** - Trash items
- 📊 **0** - General waste category

Each detection includes:
- Bounding box highlighting
- Confidence score
- Color-coded classification
- Real-time statistics

## 💡 Tips

- Try uploading multiple images in sequence
- Test with different lighting conditions
- Compare detection accuracy across samples
- Use the video mode for webcam testing

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**Happy Testing!** 🎉