PEER Hub ImageNet (Φ-Net)-Detection Extention
收藏科学数据银行2022-01-25 更新2026-04-23 收录
下载链接：
https://www.scidb.cn/en/detail?dataSetId=c9edae213b214a69a1dd226580723542
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资源简介：
This dataset is an extension of tasks 7 and 8 of the PEER Hub ImageNet (Φ-Net) classification dataset. The data provided here is annotated for the detection tasks in structural health monitoring. The dataset comprises two main related tasks (damage type and damage level) or sub-datasets. The damage type has four class instances: (1) Undamaged, (2) Flexural, (3) Shear, and (4) Combined Damage. The damage level also has four class instances: (1) Undamaged, (2) Minor, (3) Moderate, and (4) Heavy Damage. Further, data augmentation techniques including Mosiac, CutMix, and MixUp have been applied to increase the dataset size from 4585 to 11005 for the damage type and from 4636 to 10904 for the damage level.
提供机构：
University of Electronic Science and Technology of China
创建时间：
2022-01-25
