A Labelled training and testing dataset for autonomous non-destructive evaluation for Resistance SPOT welding
10.13139/OLCF/1559947This dataset contains all the training and testing data generated from 90 videos (over seven sets of welding material stack-ups). A new method is developed to assemble sufficient datasets from these videos for neural network training. These data also contains the ground truth on the weld nuggets, derived from the post-weld measurement and video conversion ratios. More specific technical details can be found in the manuscript: Jian Zhou, Dali Wang, Jian Chen, Zhili Feng. (2019), Autonomous non-destructive evaluation of resistance Spot Welded Joints.
Published: 2019-09-04 11:08:07 Download DatasetDataset Properties
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Project Identifier | 311L0207 |
Dataset Type | IP Still Images or Photos |
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Originating Organizations | Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States) |
Sponsoring Organizations | Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V) |
DOE Contract | 34715860 |
Acknowledgements
Papers using this dataset are requested to include the following text in their acknowledgements:
*Support for 10.13139/OLCF/1559947 is provided by the U.S. Department of Energy, project 311L0207 under Contract 34715860. This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility.