Add model card

README.md

@@ -0,0 +1,86 @@
+---
+license: apache-2.0
+library_name: coreml
+pipeline_tag: depth-estimation
+base_model: depth-anything/DA3-SMALL
+base_model_relation: quantized
+tags:
+  - coreml
+  - core-ml
+  - ios
+  - macos
+  - apple
+  - on-device
+  - monocular-depth
+  - dinov2
+  - arxiv:2511.10647
+---
+
+# Depth Anything 3 Small (504×504) — Core ML
+
+*ByteDance-Seed, ICLR 2026 oral*
+
+Relative monocular depth from a single image. DA3 Main Series, Small (0.08B params, DINOv2 ViT-S/14 + DualDPT head). First public Core ML conversion of Depth Anything 3.
+
+Core ML conversion of [ByteDance-Seed/Depth-Anything-3](https://github.com/ByteDance-Seed/Depth-Anything-3) for on-device inference on iPhone, iPad and Mac. Converted with `coremltools`; the packages are stateless, so all sequencing and buffering lives in your Swift code.
+
+| | |
+|---|---|
+| Task | depth estimation |
+| Upstream | [ByteDance-Seed/Depth-Anything-3](https://github.com/ByteDance-Seed/Depth-Anything-3) |
+| Packages | 1 |
+| Download size | 44 MB |
+| Minimum iOS | 17.0 |
+| Peak RAM | ~300 MB |
+
+## Files
+
+| File | Size | Compute units | SHA-256 |
+|---|---:|---|---|
+| `DepthAnythingV3_small_504.mlpackage.zip` | 44 MB | `all` | `c10f8afa01fdc1d2…` |
+| **Total** | **44 MB** | | |
+
+`compute_units` is not a suggestion -- it is the configuration the conversion was verified against. Moving a package to a different compute unit can silently change the numerics (FP16 attention overflow) or crash on the GPU.
+
+## Download
+
+```bash
+hf download mlboydaisuke/coreml-zoo --include "depth_anything_v3/*" --local-dir ./depth_anything_v3_small_504
+unzip './depth_anything_v3_small_504/depth_anything_v3/*.zip' -d ./depth_anything_v3_small_504
+```
+
+## Use in Swift
+
+```swift
+import CoreML
+
+let config = MLModelConfiguration()
+config.computeUnits = .all   // as converted — see the table above
+
+// Unzip the .mlpackage, drop it into your Xcode target and Xcode compiles it
+// at build time:
+let model = try DepthAnythingV3_small_504(configuration: config)
+
+// ...or compile a downloaded .mlpackage at runtime:
+let compiled = try await MLModel.compileModel(at: mlpackageURL)
+let model = try MLModel(contentsOf: compiled, configuration: config)
+```
+
+## Demo
+
+- **Models Zoo** — this model is downloadable and runnable inside the [Models Zoo app](https://apps.apple.com/app/id6762083207) on the App Store, no build required.
+
+## Conversion
+
+- Script: [`convert_depth_anything_v3.py`](https://github.com/john-rocky/CoreML-Models/blob/master/conversion_scripts/convert_depth_anything_v3.py)
+- Pitfalls hit during conversion (FP16 overflow, ANE buffer limits, stride handling): [`docs/coreml_conversion_notes.md`](https://github.com/john-rocky/CoreML-Models/blob/master/docs/coreml_conversion_notes.md)
+- Model index: [CoreML-Models](https://github.com/john-rocky/CoreML-Models)
+
+## License
+
+The conversion inherits the upstream license: **Apache-2.0**.
+
+## Credits
+
+- Upstream authors: [ByteDance-Seed/Depth-Anything-3](https://github.com/ByteDance-Seed/Depth-Anything-3), 2025
+- Core ML conversion: john-rocky (Daisuke Majima)