---
license: cc-by-nc-4.0
base_model: depth-anything/DA3-LARGE
tags:
  - coreml
  - depth-estimation
  - depth-anything-3
pipeline_tag: depth-estimation
---

# DA3-LARGE — CoreML (.mlpackage) for monocular depth

A precompiled **Core ML** conversion of **Depth Anything 3 — DA3-LARGE** (the full
ViT-L model), exposing a single-image **relative-depth** output for use in macOS/iOS
apps (e.g. the Sbs SBS-3D viewer).

- **Input:** `image`, RGB, **504×504**, [0,1] (CoreML `ImageType`; ImageNet norm baked in).
- **Output:** `depth`, shape **(1, 504, 504)**, single-channel relative depth.
- **Weights:** FP16. Only the **backbone → depth head** is converted; DA3's camera /
  sky / Gaussian-splat post-processing is bypassed (not needed for monocular depth).
- **Conversion notes:** the full DA3-LARGE backbone uses RoPE + multi-view camera
  tokens, so four ops were rewritten for coremltools compatibility (RoPE
  `cartesian_prod`, in-place camera-token insert, single-view empty source-token
  concat, and the head's `meshgrid`). Behaviour is unchanged for single-image input.

## License & attribution

Derived from **[depth-anything/DA3-LARGE](https://huggingface.co/depth-anything/DA3-LARGE)**
(Depth Anything 3, arXiv:2511.10647), licensed **CC-BY-NC-4.0**. This conversion is
released under the **same CC-BY-NC-4.0** license: **attribution required, non-commercial
use only.** Do not use commercially.

For commercial use, see the Apache-2.0 monocular distillation
[depth-anything/DA3MONO-LARGE](https://huggingface.co/depth-anything/DA3MONO-LARGE)
([CoreML build](https://huggingface.co/sdkv2/DepthAnythingV3Mono-CoreML)).