Dataset Viewer
Auto-converted to Parquet Duplicate
Search is not available for this dataset
image
imagewidth (px)
800
800
label
class label
2 classes
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
3good
End of preview. Expand in Data Studio

Dataset Card for Dataset Name

This dataset contains 7 industrial parts taken from a 360-degree all-around view with one axis of rotation. It contains a train set of all-around images and test sets with ground truth anomaly masks.

Paper: 3D Gaussian Reference Parts for Robust Free-Viewpoint Visual Inspection

BibTeX entry and citation info

@ARTICLE{11424398,
  author={Ito, Kenta and Ueda, Shiori and Mori, Shohei and Sugano, Junichi and Adachi, Hideyuki and Saito, Hideo},
  journal={IEEE Access}, 
  title={3D Gaussian Reference Parts for Robust Free-Viewpoint Visual Inspection}, 
  year={2026},
  volume={14},
  number={},
  pages={37885-37896},
  keywords={Three-dimensional displays;Inspection;Pipelines;Feature extraction;Cameras;Pose estimation;Visualization;Defect detection;Point cloud compression;Image reconstruction;Digital twin;3D reconstruction;pose estimation;template matching;visual inspection},
  doi={10.1109/ACCESS.2026.3671877}
  }
Downloads last month
4,121