---
license: cc-by-nc-4.0
language:
- en
pipeline_tag: depth-estimation
library_name: coreml
tags:
- depth
- relative depth
base_model:
- depth-anything/Depth-Anything-V2-Large
---

# Depth Anything V2 Large (mlpackage)

In this repo you can find:
* The notebook which was used to convert [depth-anything/Depth-Anything-V2-Large](https://huggingface.co/depth-anything/Depth-Anything-V2-Large) into a CoreML package.
* The mlpackage which can be opened in Xcode and used for Preview and development of macOS and iOS Apps
* Performence and compute unit mapping report for this model as meassured on an iPhone 16 Pro Max and a MacBook Pro (With Apple M3 Pro)

As a derivative work of Depth-Anything-V2-Large this port is also under cc-by-nc-4.0 

![Xcode Preview](https://huggingface.co/LloydAI/DepthAnything_v2-Large-CoreML/resolve/main/sample_images/Xcode_Preview.jpg)


## Citation of original work

If you find this project useful, please consider citing:

```bibtex
@article{depth_anything_v2,
  title={Depth Anything V2},
  author={Yang, Lihe and Kang, Bingyi and Huang, Zilong and Zhao, Zhen and Xu, Xiaogang and Feng, Jiashi and Zhao, Hengshuang},
  journal={arXiv:2406.09414},
  year={2024}
}

@inproceedings{depth_anything_v1,
  title={Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data}, 
  author={Yang, Lihe and Kang, Bingyi and Huang, Zilong and Xu, Xiaogang and Feng, Jiashi and Zhao, Hengshuang},
  booktitle={CVPR},
  year={2024}
}