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README.md

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+# ORB: Omni-directional Reconstruction Backbone
+
+![ORB Banner](https://raw.githubusercontent.com/speridlabs/ORB/main/assets/banner.png)
+
+**ORB (Omni-directional Reconstruction Backbone)** is a state-of-the-art 360° panorama depth estimation model that predicts dense, scale-invariant distance from a single equirectangular panorama in an end-to-end manner.
+
+## 🎯 Key Features
+
+- **360° Depth Estimation**: Predicts dense depth maps from equirectangular panoramas
+- **Scale-Invariant**: Robust distance predictions with geometric fidelity
+- **Zero-Shot Generalization**: Strong performance on unseen data
+- **End-to-End**: Single forward pass for complete panorama depth
+- **Easy Integration**: Simple Python API with HuggingFace support
+
+## 🚀 Quick Start
+
+For using the model go to the [ORB GitHub Repository](https://github.com/speridlabs/orb)
+
+## 📁 Model Files
+
+- `model.safetensors` - Main model weights (1.3 GB)
+- `README.md` - This file
+
+## 🎓 Citation
+
+**ORB is based on DA²: Depth Anything in Any Direction**
+
+```bibtex
+@article{li2025depth,
+  title={DA $^{2}$: Depth Anything in Any Direction},
+  author={Li, Haodong and Zheng, Wangguangdong and He, Jing and Liu, Yuhao and Lin, Xin and Yang, Xin and Chen, Ying-Cong and Guo, Chunchao},
+  journal={arXiv preprint arXiv:2509.26618},
+  year={2025}
+}
+```
+
+## 📜 License
+
+Apache 2.0 License - See [LICENSE](https://github.com/speridlabs/ORB/blob/main/LICENSE) for details.
+
+---
+
+Made with ❤️ by [Sperid Labs](https://github.com/speridlabs)

model.safetensors

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