| title | Mineral Identifier | |||||
|---|---|---|---|---|---|---|
| emoji | 🪨 | |||||
| colorFrom | indigo | |||||
| colorTo | purple | |||||
| sdk | gradio | |||||
| sdk_version | 5.29.1 | |||||
| python_version | 3.11 | |||||
| app_file | app.py | |||||
| fullWidth | true | |||||
| header | default | |||||
| short_description | Upload a rock image to identify it! | |||||
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| pinned | true |
Welcome to the Mineral Identifier app! This tool uses a deep learning model to identify the type of mineral in a rock image you upload.
- 🔍 Image classification powered by a trained neural network
- 📸 Upload an image of a mineral sample
- 💡 Get a prediction along with confidence levels
- 🌐 Built with Gradio for fast, accessible user interaction
The app is powered by a convolutional neural network trained on a curated dataset of mineral images including:
- Quartz
- Calcite
- Feldspar
- Mica
- And more!
If you’d like to explore the dataset used:
- Choose a photo of your rock/mineral sample.
- The app will process the image and output the predicted mineral type.
If you encounter any issues or have suggestions for improvements, feel free to open an issue on GitHub or reach out on the Hugging Face community.