| # 🧪 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 | |
| --- | |
| **Happy Testing!** 🎉 | |