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Data · dataset · 2022

PEER Hub ImageNet (Φ-Net)-Detection Extention

Listed in ScienceDB

This dataset is an extension of tasks 7 and 8 of the PEER Hub ImageNet (Φ-Net) classification dataset.

Description

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.

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.11922/sciencedb.0147210 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:engineeringmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:medicine-healthmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
licensesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/rights
publication_datesource · scidb cnconnector:scidb_cn@1.0.0
titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title