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

# VREyeSAM: Non-Frontal Iris Segmentation

![VREyeSAM Demo](https://img.shields.io/badge/Status-Active-success)
![Python](https://img.shields.io/badge/Python-3.11+-blue)
![Security](https://img.shields.io/badge/Security-Protected-brightgreen)

## 🎯 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

---

## Citation

If you use VREyeSAM in your research:

```bibtex
@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

---

**For full technical details and code, visit:** [GitHub Repository](https://github.com/GeetanjaliGTZ/VREyeSAM)