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Ronaldo-GOAT/ho3d_transfer

HO-3D v3 (merged transfer) This repository bundles the HO-3D v3 dataset together with its rendered hand/object segmentations, kept as the original .zip archives plus the upstream README.txt. Contents File Size Description HO3D_v3.zip ~32 GB Main dataset: train/, evaluation/, calibration/, manual_annotations/, train.txt, evaluation.txt HO3D_v3_segmentations_rendered.zip ~91 MB Rendered hand/object segmentations: train/<SEQ>/seg/*.png (1/4 RGB… See the full description on the dataset page: https://huggingface.co/datasets/Ronaldo-GOAT/ho3d_transfer.

sourceHugging Faceotherupdated 3mo agoView on Hugging Face
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HO-3D v3 (merged transfer)

This repository bundles the HO-3D v3 dataset together with its rendered hand/object segmentations, kept as the original .zip archives plus the upstream README.txt.

Contents

FileSizeDescription
HO3D_v3.zip~32 GBMain dataset: train/, evaluation/, calibration/, manual_annotations/, train.txt, evaluation.txt
HO3D_v3_segmentations_rendered.zip~91 MBRendered hand/object segmentations: train/<SEQ>/seg/*.png (1/4 RGB resolution)
README.txtOriginal upstream documentation (description, annotation format, citation)

Merging into a single folder

The segmentation archive shares the same train/<SEQ>/ layout as the main archive, so the two extract and merge cleanly (the seg/ subfolders are new — no file conflicts):

bash
unzip HO3D_v3.zip -d HO3D_v3
unzip HO3D_v3_segmentations_rendered.zip -d HO3D_v3   # adds train/<SEQ>/seg/

License / terms

Academic, non-commercial research use only. The upstream terms state the dataset may not be redistributed, modified, or used commercially without the authors' express permission. See README.txt for the full terms.

Citation

bibtex
@ARTICLE{hampali2019honnotate,
  title   = {HOnnotate: A method for 3D Annotation of Hand and Object Poses},
  author  = {Shreyas Hampali and Mahdi Rad and Markus Oberweger and Vincent Lepetit},
  booktitle = {Proc. Computer Vision and Pattern Recognition (CVPR), IEEE},
  year    = {2020}
}