---
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.