| | --- |
| | title: Garbage Detection AI |
| | emoji: 🗑️ |
| | colorFrom: green |
| | colorTo: teal |
| | sdk: docker |
| | app_port: 7860 |
| | --- |
| | |
| | # Garbage Detection AI Demo |
| |
|
| | This is an AI-powered web tool that classifies images as 'Clean' or 'Dirty' using a trained TensorFlow/Keras model. |
| |
|
| | ## How to Use |
| | 1. Navigate to the `/tool` endpoint (`https://huggingface.co/spaces/nonamelife/garbage-detection-demo`). |
| | 2. Upload an image (JPG, JPEG, or PNG). |
| | 3. The application will predict whether the image depicts a "Clean" or "Dirty" environment. |
| |
|
| | ## Model Details |
| | The underlying machine learning model (`model.keras`) is hosted on the Hugging Face Hub: |
| | [nonamelife/garbage-detection-model](https://huggingface.co/nonamelife/garbage-detection-model) |
| |
|
| | ## Technologies |
| | * Python (Flask) |
| | * TensorFlow / Keras |
| | * HTML, CSS |
| |
|
| | ## Source Code |
| | The full source code for this demo is available on GitHub: |
| | [Source Code](https://github.com/CookieDevLab/Garbage_detection) |
