README.md

metadata

title: VREyeSAM
emoji: 👁️
colorFrom: purple
colorTo: pink
sdk: docker
app_file: app.py
pinned: false
license: mit

VREyeSAM: Non-Frontal Iris Segmentation

🎯 Overview

VREyeSAM is a robust iris segmentation service for non-frontal iris images captured in virtual reality and augmented reality environments.

🚀 Quick Start

1. Upload a non-frontal iris image
2. Click "Segment Iris"
3. Download results

📊 Features

• Fast Segmentation: Real-time iris segmentation
• Binary Masks: Precise iris region extraction
• Confidence Maps: Uncertainty quantification
• Easy Download: Save results with one click

🔒 Security

This model is fully protected:

• ✅ Model weights cannot be downloaded
• ✅ Implementation details are hidden
• ✅ Only API endpoints are exposed
• ✅ Secure inference only

📈 Performance

• High accuracy on non-frontal iris images
• Optimized for VR/AR capture scenarios
• Fast inference on standard hardware

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Citation

If you use VREyeSAM in your research:

@article{sharma2025vreyesam,
  title={VREyeSAM: Virtual Reality Non-Frontal Iris Segmentation using Foundational Model with Uncertainty Weighted Loss},
  author={Sharma, Geetanjali and Nagaich, Dev and Jaswal, Gaurav and Nigam, Aditya and Ramachandra, Raghavendra},
  conference={IJCB},
  year={2025}
}

👥 Authors

• Geetanjali Sharma
• Dev Nagaich
• Gaurav Jaswal
• Aditya Nigam
• Raghavendra Ramachandra

📧 Contact

For inquiries: geetanjalisharma546@gmail.com

📄 License

MIT License - See LICENSE file

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For full technical details and code, visit: GitHub Repository