Add model card

README.md

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+---
+license: apache-2.0
+base_model: depth-anything/da3-small
+pipeline_tag: depth-estimation
+library_name: coreai
+tags:
+  - core-ai
+  - ios
+  - depth-estimation
+---
+
+# Depth Anything 3 small for Core AI
+
+[`depth-anything/da3-small`](https://huggingface.co/depth-anything/da3-small) (35M parameters) exported to Apple Core AI with the [`apple/coreai-models`](https://github.com/apple/coreai-models/tree/main/models/depth-anything) recipe:
+
+```sh
+uv run models/depth-anything/export.py
+```
+
+| Folder              | Contents                                                                                                                                      | Size   | Platforms  |
+| ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------- | ------ | ---------- |
+| `da3-small.aimodel` | `main(image)`: `image` is `[1, 2, 3, 224, 224]` float32, two views of RGB normalized with the ImageNet mean and std. Returns `depth` and `depth_conf` (`[1, 2, 224, 224]`), `extrinsics` and `intrinsics` per view | 101 MB | iOS, macOS |
+
+Depth is relative: smaller values are nearer. For a single photo, pass it as both views.
+
+## Use
+
+With [`@react-native-ai/core-ai`](https://github.com/callstackincubator/ai/tree/main/packages/core-ai), download `da3-small.aimodel` into app storage, then:
+
+```ts
+const { output } = await CoreAI.runTask(
+  'depth',
+  { id: 'da3-small', sourceType: 'file', sourceUri: pathToModel },
+  { imageUri },
+  {}
+)
+// output.image: base64 PNG, nearer is brighter. output.depth: the float32 map
+```
+
+## License
+
+Depth Anything 3 small is Apache-2.0 ([repository](https://github.com/ByteDance-Seed/Depth-Anything-3)). This repository only converts it to Core AI format.