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---
license: apache-2.0
pipeline_tag: depth-estimation
tags:
- '360'
- depth-estimation
- computer-vision
---
# ORB: Omni-directional Reconstruction Backbone
**ORB** is a 360° panorama depth estimation model that predicts dense distance maps from equirectangular panoramas in a single forward pass.
## Model Description
This model takes a 360° equirectangular panorama (2:1 aspect ratio) as input and outputs a dense depth/distance map at the same resolution. It's designed for:
- **Zero-shot depth estimation** from panoramic images
- **Scale-invariant predictions** with geometric fidelity
- **End-to-end processing** without post-processing
## Quick Start
```python
from orb import predict_pano_depth
# Predict depth from panorama
distance = predict_pano_depth('panorama.png')
```
## Model Details
- **Input**: RGB panorama (equirectangular, width = 2 × height)
- **Output**: Dense depth/distance map (same resolution as input)
- **Format**: SafeTensors (1.3 GB)
- **Precision**: FP32 / FP16 supported
- **Base Architecture**: Built upon [DA²: Depth Anything in Any Direction](https://arxiv.org/abs/2509.26618)
## 📖 Full Documentation
For complete installation instructions, advanced usage, API documentation, and examples, please visit:
**[github.com/speridlabs/ORB](https://github.com/speridlabs/ORB)**
## License
Apache 2.0 - See [LICENSE](https://github.com/speridlabs/ORB/blob/main/LICENSE)
## Acknowledgements
Built upon the foundational work of the [DA-2](https://arxiv.org/abs/2509.26618).
---
Made with ❤️ by [Sperid Labs](https://github.com/speridlabs) |