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license: cc-by-nc-4.0
tags:
- depth-anything-3
- onnx
- depth-estimation
- spatial-computing
---
# Depth Anything 3 (DA3) ONNX Weights
This repository contains pre-exported and optimized ONNX weights for the **Depth Anything 3** model family, formatted for zero-dependency inference in [`spatialhub`](https://github.com/pankajkaushik12/spatialhub).
## ⚖️ Licensing Notice
This repository contains models under two distinct licensing tiers. **Please adhere to the upstream licenses specified below:**
### 1. Permissive / Commercial Use (Apache 2.0)
The following ONNX models inherit the **Apache License 2.0** from the official Depth Anything 3 release and may be used for commercial applications:
- `da3_small.onnx`
- `da3_base.onnx`
- `da3mono_large.onnx`
- `da3metric_large.onnx`
### 2. Non-Commercial Use Only (CC-BY-NC 4.0)
The Giant variants utilize larger foundation backbones and are strictly restricted to **non-commercial, research, and educational purposes**:
- `da3_giant.onnx`
- `da3_large.onnx`
- `da3_nested_giant_large` (Pipeline using `da3_giant.onnx` + `da3metric_large.onnx`)
For commercial licensing of the Giant models, please contact the original Depth Anything 3 maintainers. |