Alternate identifier:
(KITopen-DOI) 10.5445/IR/1000147763
Related identifier:
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Creator/Author:
Schlagenhauf, Tobias [Institut für Produktionstechnik]
Contributors:
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Title:
Domain-Shift-Dataset of Defects on Metallic Surfaces (MSD-Shift)
Additional titles:
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Description:
(Technical Remarks) The dataset maps two different surfaces (domains) from mechanical engineering (Surfaces of Ball Screw Drives (BSD); Surface of Metallic Semi-finished Products (SEV)). The domains each contain image data with and image data without surface defects. The surfaces differ, but the defect features are sim...
Keywords:
Transfer Learning
Domain Shift
Domain Generalization
Domain Adaption
Machine Learning
Deep Learning
Metallic Surfaces
Defects
Related information:
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Language:
-
Production year:
Subject areas:
Engineering
Resource type:
Dataset
Data source:
-
Software used:
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Data processing:
-
Publication year:
Rights holders:
Schlagenhauf, Tobias
Funding:
-
Name Storage Metadata Upload Action
Status:
Published
Uploaded by:
kitopen
Created on:
Archiving date:
2023-06-21
Archive size:
986.3 MB
Archive creator:
kitopen
Archive checksum:
92f33c264f295f4cad4a70930a8ec594 (MD5)
Embargo period:
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