---
license: apache-2.0
language:
- en
pipeline_tag: depth-estimation
tags:
- depth
- relative depth
---

# Depth-Anything-V2-Small

## Introduction
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:
- more fine-grained details than Depth Anything V1
- more robust than Depth Anything V1 and SD-based models (e.g., Marigold, Geowizard)
- more efficient (10x faster) and more lightweight than SD-based models
- impressive fine-tuned performance with our pre-trained models

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]()