Data · dataset · 2023
Domain-Shift-Dataset of Defects on Metallic Surfaces (MSD-Shift)
Listed in RADAR and RADAR4Memory — shown once because both records carry DOI 10.35097/1335
The dataset maps two different surfaces (domains) from mechanical engineering (Surfaces of Ball Screw Drives (BSD); Surface of Metallic Semi-finished Products (SEV)).
Description
The domains each contain image data with and image data without surface defects. The surfaces differ, but the defect features are similar across the domains.
The dataset is thus suitable for investigating questions in the context of domain shift, domain generalization, and transfer learning. The dataset is structured as follows: BSD with defect (5240); BSD without defect (1896) SEV with defect (2018); SEV without defect (21806). Attention: The Domains are not balanced over classes.
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The SEV images are each 224x224 pixel RGB PNG files. THE BSD images are each 150x150 pixel RGB PNG files. The SEV data are excerpts from the Severstal dataset.
Links
Where it is published
- DOI doi.org/10.35097/1335 ↗
DOI / persistent id · from radar service eu de
Catalogue records · 1
- OAI-PMH record radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=oai_dc&identifier… ↗
metadata API · from radar service eu de
Topics
- From keywords
- Computer Science & AI · Computer Science & AI · Deep learning · Deep learning · Earth & Environmental Science · Earth & Environmental Science · Engineering · Engineering · Machine learning · Machine learning
- Inferred from text
- Image 75%
Provenance · 2 source records, 16 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| RADAR | 10.35097/1335 | 10 d ago | JSON v1 |
| RADAR4Memory | 10.35097/1335 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| concepts[field].anzsrc:field:461103 | mapping · radar4memory radar service eu | vocabulary-mapper@1.0.0 | keywords['Deep Learning'] |
| concepts[field].anzsrc:field:461103 | mapping · radar service eu de | vocabulary-mapper@1.0.0 | keywords['Deep Learning'] |
| concepts[field].anzsrc:group:4611 | mapping · radar4memory radar service eu | vocabulary-mapper@1.0.0 | keywords['Machine Learning'] |
| concepts[field].anzsrc:group:4611 | mapping · radar service eu de | vocabulary-mapper@1.0.0 | keywords['Machine Learning'] |
| concepts[field].local:field:computer-science-ai | mapping · radar4memory radar service eu | connector:radar4memory_radar_service_eu@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · radar4memory radar service eu | connector:radar4memory_radar_service_eu@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| concepts[field].local:field:engineering | mapping · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| concepts[field].local:field:engineering | mapping · radar4memory radar service eu | connector:radar4memory_radar_service_eu@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · radar service eu de | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | /metadata/dc/description |
| license_text | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| publication_date | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| title | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | /metadata/dc/title |