---
license: apache-2.0
base_model:
  - depth-anything/DA3MONO-LARGE
base_model_relation: quantized
pipeline_tag: depth-estimation
library_name: coreml
tags:
  - coreml
  - depth-anything-3
  - monocular-depth
  - macos
  - apple-silicon
  - fp16
---

# Depth Anything 3 Mono Large — Core ML (504×504, FP16)

Core ML conversion of [DA3MONO-LARGE](https://huggingface.co/depth-anything/DA3MONO-LARGE) (Depth Anything 3, ByteDance Seed) for on-device monocular depth on Apple Silicon Macs. It runs on the GPU or the Neural Engine.

Anyone may use it under the same Apache-2.0 license as the upstream weights.

## Files

| File | Size | Notes |
|------|------|-------|
| `DA3MonoLarge504.mlpackage.zip` | ~620 MB | ML Program, FP16 weights, minimum macOS 13 |

## Specification

| | |
|---|---|
| Input `image` | `(1, 3, 504, 504)` float32, RGB in `[0, 1]`. ImageNet normalization is built into the model. |
| Output `depth` | `(1, 504, 504)` relative depth (larger = farther) |
| Output `sky` | `(1, 504, 504)` sky score (values above 0.5 are sky) |
| Shape | Fixed at 504×504. For other aspect ratios, letterbox (pad) to a square. |

Speed on an M5 Max is about 31 ms per frame on the GPU, measured end to end including I/O.

On a sample frame, the output differs from the PyTorch reference by about 0.03% (mean relative difference).

## Conversion notes

- **Sky post-processing:** The upstream model's data-dependent sky step is not part of the graph. Use the `sky` output to set those pixels to the farthest depth.
- **Position embedding:** The DINOv2 position embedding was interpolated to 504×504 and stored as a constant before conversion, because Core ML has no bicubic resize.

## License

Released under the Apache License 2.0, the same license as the upstream DA3MONO-LARGE weights (see `LICENSE`).

This is an independent conversion. The upstream Depth Anything 3 authors are not affiliated with it and have not endorsed it.

## Credits

[Depth Anything 3](https://github.com/ByteDance-Seed/Depth-Anything-3) by ByteDance Seed (Haotong Lin et al.).