File size: 1,785 Bytes
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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.
|