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| title: Age Detection Demo | |
| emoji: 👶👴 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 4.44.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # Age Detection Demo | |
| This is a demo of an age regression model trained on the UTKFace dataset. Upload a face image and the model will predict the person's age. | |
| ## Model Information | |
| - **Model**: MobileNetV2-based regression model | |
| - **Dataset**: UTKFace | |
| - **Task**: Age estimation from face images | |
| - **Input**: RGB face image (224x224) | |
| - **Output**: Predicted age in years | |
| ## Usage | |
| 1. Upload a cropped face image (crop to face for best results) | |
| 2. Click submit | |
| 3. View the predicted age | |
| The model works best with: | |
| - Clear, well-lit face images | |
| - Images cropped to show mainly the face | |
| - Front-facing or near-front-facing poses | |
| ## Model Repository | |
| The model is hosted at: [Sharris/age_detection_regression](https://huggingface.co/Sharris/age_detection_regression) | |
| ## Limitations | |
| - This model provides age estimates for research and educational purposes | |
| - Results may vary based on image quality, lighting, and pose | |
| - The model reflects biases present in the training data | |
| - Not suitable for high-stakes decision making |