|
|
--- |
|
|
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) |
