README.md

metadata

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, github and paper