Depth Anything V2 Base is an open-weight computer vision model for estimating relative depth from images. It is distributed on Hugging Face for local use through Transformers, notebooks, and compatible inference tooling.
In the Other AI space, Depth Anything V2 Base Hf takes a focused approach. It focuses on estimating scene depth from images without building and training a depth-estimation model from scratch. Depth Anything V2 Base Hf is an open-source project aimed at machine learning developers and computer vision researchers. Depth Anything V2 Base Hf is open source under the Apache-2.0 license. It runs on the web and the command line, and it can be self-hosted.
Behind Depth Anything V2 Base Hf is Depth Anything, and it first shipped in 2024. Development happens publicly on GitHub with 8.2k stars. Among its 6 catalogued features are depth estimation, image processing, and transformers integration.
Summary written by a language model from the project’s public pages.
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