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A 68.5 MB dataset of 3D point clouds for manufacturing defect inspection, released by Xiaoyang Song on figshare in May 2026. It supports research into detecting new, unseen defect types that are out-of-distribution from training data. The dataset is used to validate a novel generative adversarial approach for supervised OoD sample generation.
The archive contains multiple file formats (PDF, DS_STORE, MD, ZIP), suggesting the dataset may be packaged with documentation and code.