Data · dataset · 2023
Ball Screw Drive Surface Defect Dataset for Classification
Listed in RADAR and RADAR4Memory — shown once because both records carry DOI 10.35097/1511
The dataset contains of 21835 150x150 Pixel RGB images of the surface of Ball Screw Drives. 11075 of these images are images without surface defects whereas the rest shows images with surface defects in form of so called pittings.
Description
So the dataset is evenly split over the classes. Pittings result from surface disruption and can ultimately lead to the breakdown of the component.
To keep the availability of machines high it is important to find surface defects in time. The here presented dataset gives researchers and practitioners the possibility to train and test models for the classification of surface defects on machine tool elements.
Links
Where it is published
- DOI doi.org/10.35097/1511 ↗
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 · Earth & Environmental Science · Earth & Environmental Science · Engineering · Engineering · Machine learning · Machine learning · Mechanical engineering · Mechanical engineering
- Inferred from text
- Image 65%
Provenance · 2 source records, 16 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| RADAR | 10.35097/1511 | 13 d ago | JSON v1 |
| RADAR4Memory | 10.35097/1511 | 13 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:group:4017 | mapping · radar4memory radar service eu | vocabulary-mapper@1.0.0 | keywords['Mechanical Engineering'] |
| concepts[field].anzsrc:group:4017 | mapping · radar service eu de | vocabulary-mapper@1.0.0 | keywords['Mechanical Engineering'] |
| 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 (65%) |
| description | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | /metadata/dc/description |
| license | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | /metadata/dc/rights |
| 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 |