emission images defect samples
收藏DataCite Commons2023-05-07 更新2024-07-29 收录
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https://figshare.com/articles/dataset/emission_images_defect_samples/21280104
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资源简介:
The emission images are manually inspected in order to select 150 images as defected samples and used to create a dataset considered as the ground truth for machine learning <br> Acknowledgement : Thanks to Denis Dowling from I-Form Advanced Manufacturing Research Centre and his team member Darragh Egan based in University College Dublin for the provision of this data
研究人员对发射图像开展人工检视,从中筛选出150幅缺陷样本图像,并以此构建了可作为机器学习基准真值(ground truth)的数据集。
致谢:感谢I-Form先进制造研究中心的Denis Dowling及其任职于都柏林大学学院的团队成员Darragh Egan为本数据集提供数据支持。
提供机构:
figshare
创建时间:
2022-10-13



