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--- |
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license: apache-2.0 |
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language: |
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- en |
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pipeline_tag: depth-estimation |
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tags: |
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- depth |
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- relative depth |
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--- |
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# Depth-Anything-V2-Small |
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## Introduction |
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Depth Anything V2 is trained from 595K synthetic labeled images and 62M+ real unlabeled images, providing the most capable monocular depth estimation (MDE) model with the following features: |
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- more fine-grained details than Depth Anything V1 |
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- more robust than Depth Anything V1 and SD-based models (e.g., Marigold, Geowizard) |
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- more efficient (10x faster) and more lightweight than SD-based models |
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- impressive fine-tuned performance with our pre-trained models |
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For more details, please refer to our [project page](https://depth-anything-v2.github.io/), [github](https://github.com/DepthAnything/Depth-Anything-V2) and [paper]() |
