apple/coreml-depth-anything-small

Depth Estimation·apple· 99· 39

coreml apache-2.0 Depth Estimation arxiv:2401.10891license:apache-2.0region:us

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.

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# pull & run locally
pip install mlforge-sdk && mlforge pull apple/coreml-depth-anything-small

Model details

Task

Depth Estimation

Provider

apple

Framework

coreml

Size

2.1 GB

License

apache-2.0

Downloads

Likes

Paper

arXiv:2401.10891

Updated

2024-06-13

About apple/coreml-depth-anything-small

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.

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