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  ---
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  license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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+ # Depth-Anything-V2-Small
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+
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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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+
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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]()