| --- |
| 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. |
| |
