PEER Hub ImageNet (Φ-Net)-Detection Extention

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.