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| title: Radio Galaxy Classifier | |
| emoji: 🌌 | |
| colorFrom: indigo | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: "6.20.0" | |
| python_version: "3.12" | |
| app_file: app.py | |
| pinned: false | |
| # Radio Galaxy Classifier | |
| A web application for classifying radio galaxy morphology into: | |
| - FRI | |
| - FRII | |
| - Compact | |
| - Bent | |
| Built with: | |
| - PyTorch | |
| - Gradio | |
| - Docker | |
| ## Live Demo | |
| [Hugging Face Spaces](https://huggingface.co/spaces/huma-03/radio-galaxy-classifier) | |
| ## Features | |
| - Upload a radio galaxy image | |
| - Predict morphology | |
| - Confidence score | |
| - Grad-CAM visualization | |
| - Morphology explanations | |
| ## Model | |
| The model was trained on the RadioGalaxyDataset containing 2,158 FIRST survey images. | |
| For the complete training pipeline, experiments, and implementation details, see the companion repository: | |
| https://github.com/huma-m/radio-galaxy-classifier | |
| ## Local Run | |
| ``` | |
| pip install -r requirements.txt | |
| python app.py | |
| ``` |