LabelAny3D: Label Any Object 3D in the Wild

Jin Yao, Radowan Mahmud Redoy, Sebastian Elbaum, Matthew B. Dwyer, Zezhou Cheng

Samples from COCO3D dataset

COCO3D dataset

The evaluation set of COCO3D and pseudo-labeled training set are available at Hugging Face.

3D BBox human refinement interface

We release the source code for the refinement interface in https://github.com/UVA-Computer-Vision-Lab/3d_annotator.

The remaining code will be released soon. Stay tuned.

Citing

If you find this work useful for your research, please kindly cite:

@inproceedings{yao2025labelany3d,
  title={LabelAny3D: Label Any Object 3D in the Wild},
  author={Jin Yao and Radowan Mahmud Redoy and Sebastian Elbaum and Matthew B. Dwyer and Zezhou Cheng},
  booktitle={Neural Information Processing Systems (NeurIPS)},
  year={2025}
}

@inproceedings{yao2025open,
  title={Open Vocabulary Monocular 3D Object Detection},
  author={Yao, Jin and Gu, Hao and Chen, Xuweiyi and Wang, Jiayun and Cheng, Zezhou},
  booktitle={Proceedings of the International Conference on 3D Vision (3DV)},
  year={2026}
}