test_samples/README.md

🧪 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)

python start.py

Then select option 1 to launch the Streamlit dashboard, and upload any sample image.

Option 2: Command Line

# 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! 🎉