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.
In the Other AI space, Unidepth V2 Vitl14 takes a focused approach. It enables accurate monocular depth estimation from single images for computer vision applications. Unidepth V2 Vitl14 is an open-source project aimed at computer vision researchers. The project is open source (Open Source). The product ships for the web, the command line, and API, and it can be self-hosted.
Behind Unidepth V2 Vitl14 is Luca Piccinelli, and the product 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.
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