allenai/WildDet3D

object-detection model by allenai

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WildDet3D is a promptable monocular 3D object detection model that detects and localizes objects in 3D from a single RGB image. It supports text, box, and point prompts for open-vocabulary 3D detection across diverse in-the-wild scenes. Authors: Weikai Huang, Jieyu Zhang, Sijun Li, Taoyang Jia, Jiafei Duan, Yunqian Cheng, Jaemin Cho, Matthew Wallingford, Rustin Soraki, Chris Dongjoo Kim, Shuo Liu, Donovan Clay, Taira Anderson, Winson Han, Ali Farhadi, Bharath Hariharan, Zhongzheng Ren, Ranjay Krishna Affiliations: Allen Institute for AI (Ai2), University of Washington, Cornell University, UNC-Chapel Hill When camera intrinsics are not available (e.g.,…

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Model overview

allenai/WildDet3D is a object-detection model repository published by allenai on Hugging Face. The source reports the wilddet3d library.

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Model facts

Task: object-detection
Library: wilddet3d
Recent downloads (30 days): 12,850
Cumulative likes: 45
Hugging Face trending score: 0
Reported safetensors parameters: Not reported
Architecture: Not reported
License: other
Access: Not gated by Hugging Face
Created: 2026-04-04T01:50:53.000Z
Last modified: 2026-06-01T20:58:44.000Z

Compatibility and lineage

Reported languages: en

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