UniDepth v2 ViT-L/14 is an open-source model for monocular metric depth estimation from images, developed by Luca Piccinelli. It is designed for computer vision researchers and supports PyTorch, enabling accurate depth prediction for robotics, AR, and 3D reconstruction tasks.
Unidepth V2 Vitl14 sits in PulseGate's Other AI category. It enables accurate monocular depth estimation from single images for computer vision applications. It is built as an open-source project for computer vision researchers. The project is open source (Open Source). It ships for the web, the command line, and API, and it can be self-hosted.
Luca Piccinelli builds and maintains Unidepth V2 Vitl14, and it first shipped in 2024. The project is developed in the open on GitHub with 1.2k stars. Among its 5 catalogued features are depth estimation, monocular input, and metric prediction.
Summary written by a language model from the project’s public pages.
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