README.md

metadata

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!
tags:
  - geology
  - mineralogy
  - image-classification
  - gradio
  - computer-vision
datasets:
  - Nech-C/mineralimage5K-98
pinned: true

🪨 Mineral Identifier

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.

🚀 Features

• 🔍 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

🧠 Behind the Model

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:

• Dataset on Hugging Face Hub

🛠️ How to Use

1. Choose a photo of your rock/mineral sample.
2. The app will process the image and output the predicted mineral type.

💬 Feedback

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.