license: apache-2.0
Depth Anything Core ML Models
See the Files tab for converted models.
Depth Anything model was introduced in the paper Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data by Lihe Yang et al. and first released in this repository.
Online demo is also provided.
Disclaimer: The team releasing Depth Anything did not write a model card for this model so this model card has been written by the Hugging Face team.
Model description
Depth Anything leverages the DPT architecture with a DINOv2 backbone.
The model is trained on ~62 million images, obtaining state-of-the-art results for both relative and absolute depth estimation.
Depth Anything overview. Taken from the original paper.
Download
Install huggingface-hub
pip install huggingface-hub
To download one of the .mlpackage folders to the models directory:
huggingface-cli download \
--local-dir models --local-dir-use-symlinks False \
coreml-projects/depth-anything \
--include "DepthAnythingSmallF16.mlpackage/*"
To download everything, skip the --include argument.