---
license: apache-2.0
base_model: depth-anything/Depth-Anything-V2-Small-hf
pipeline_tag: depth-estimation
library_name: coreai
tags:
- coreai
- core-ai
- coreai-fabric
- aimodel
- coreml
- apple
- apple-silicon
- on-device
- depth-estimation
- monocular-depth
- vision
---

> **Canonical:** [`kevinqz/Depth-Anything-V2-Small-CoreAI`](https://huggingface.co/kevinqz/Depth-Anything-V2-Small-CoreAI) — source of truth. 

# Depth Anything V2 Small (fabric)

An Apple Core AI conversion of
[depth-anything/Depth-Anything-V2-Small-hf](https://huggingface.co/depth-anything/Depth-Anything-V2-Small-hf) — a **monocular
depth estimator** that maps a single RGB image to a per-pixel (inverse-)depth map.
Produced by [coreai-fabric](https://github.com/kevinqz/coreai-fabric/blob/main/recipes/depth-anything-v2-small.yaml) and indexed by
[coreai-catalog](https://github.com/kevinqz/coreai-catalog).

> **Dense prediction, fully on-device.** This is a single-forward dense predictor — RGB image (1×3×518×518) in, per-pixel depth (1×518×518) out, no loop. The **host owns** only image preprocessing (resize to a multiple of 14, ImageNet normalize) and any depth colormap for display.

## Model facts

| Field | Value |
|---|---|
| Parameters | 0.025B |
| Architecture | cnn/transformer |
| Capabilities | monocular-depth |
| Input | 1×3×518×518 |
| Output (depth) | 1×518×518 |
| Quantization / precision | none / float32 |
| On-disk size | 94 MB |
| Asset kind | single-graph dense predictor (image -> per-pixel depth) |
| assetVersion | 2.0 |


## Use it — this needs host code you supply

The bundle is a single static-size graph: `pixel_values` (1×3×518×518) in → `predicted_depth` (1×518×518) out. **You supply** the resize-to-multiple-of-14 + ImageNet normalization and any visualization/colormap in your host code (Swift or Python).

```bash
pip install coreai-catalog && coreai-catalog install depth-anything-v2-small
```

## Requirements

- **Deployment: macOS 27.0+ / iOS 27.0+, Xcode 27+.** The asset serializes with `minimum_os v27`,
  so the on-device Swift runtime requires macOS/iOS 27+. A Mac on macOS 26 can
  convert and inspect it but not run it on-device.
- Apple Silicon.

## Verification (output parity)

- **Gate A (structure): passed** — the bundle's layout + metadata were
  validated; the graph loads.
- **Gate B — graph_output_cosine: 1.000000 min output cosine** (median 1.000000) vs the fp32 torch depth model over 8 seeded pixel_values, measured on apple_silicon. Certifies the export computes the SAME output as the source — a conversion-fidelity metric, not task accuracy.
- This certifies the export is **numerically faithful to the source model** — it
  does **NOT** certify absolute depth accuracy on your images. Reproduce with
  `coreai-fabric verify`.

## Provenance

| Field | Value |
|---|---|
| Base model | [depth-anything/Depth-Anything-V2-Small-hf](https://huggingface.co/depth-anything/Depth-Anything-V2-Small-hf) @ `5426e4f0f36572d16453bbda7a8389317b1bef99` |
| Converted by | `models/depth_anything/export.py` (version not reported) |
| Recipe | [depth-anything-v2-small](https://github.com/kevinqz/coreai-fabric/blob/main/recipes/depth-anything-v2-small.yaml) (recipe_source: fabric) |
| Precision / quantization | float32 / none |
| Conversion date | 2026-07-10 |

Machine-readable, in this repo:
[`parity-report.json`](./parity-report.json) ·
[`reproduce-manifest.json`](./reproduce-manifest.json) · [`LICENSE`](./LICENSE).

## License and attribution

Weights licensed **apache-2.0** — see the bundled `LICENSE`. This artifact is a **converted derivative** of the base model: its
weights were converted to Apple Core AI format. The conversion itself is
community work.

## Links

- **Base model:** [depth-anything/Depth-Anything-V2-Small-hf](https://huggingface.co/depth-anything/Depth-Anything-V2-Small-hf)
- **Reproduce:** [recipe `depth-anything-v2-small`](https://github.com/kevinqz/coreai-fabric/blob/main/recipes/depth-anything-v2-small.yaml)
- **Index:** [coreai-catalog](https://github.com/kevinqz/coreai-catalog)
- [HF Collection](https://huggingface.co/collections/kevinqz/coreai-apple-on-device-6a4879f21c7e1a87c99bcf5a)


## The on-device Core AI ecosystem

- [coreai-fabric](https://github.com/kevinqz/coreai-fabric) — the reproducible
  recipe → `.aimodel` pipeline that produced this asset.
- [coreai-catalog](https://github.com/kevinqz/coreai-catalog) — the index of Core
  AI models with provenance and integration snippets.
- [apple/coreai-models](https://github.com/apple/coreai-models) — Apple's official
  exporters and runtimes.

## Not affiliated with Apple

Community conversion. Not produced, hosted, or endorsed by Apple. Apple and Core
AI are trademarks of Apple Inc., used here only to describe the target
runtime/format.