https://github.com/astrazeneca/perfcam-dataset
Dataset for PerfCam: Digital Twinning for Production Lines Using 3D Gaussian Splatting and Vision Models
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic links in README
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (0.9%) to scientific vocabulary
Keywords
3d-reconstruction
computer-vision
digital-twin
gaussian-splatting
object-detection
vision-models
yolo
Last synced: 6 months ago
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Repository
Dataset for PerfCam: Digital Twinning for Production Lines Using 3D Gaussian Splatting and Vision Models
Basic Info
Statistics
- Stars: 1
- Watchers: 2
- Forks: 1
- Open Issues: 0
- Releases: 1
Topics
3d-reconstruction
computer-vision
digital-twin
gaussian-splatting
object-detection
vision-models
yolo
Created about 1 year ago
· Last pushed about 1 year ago
Metadata Files
Readme
Contributing
License
Authors
Owner
- Name: AstraZeneca
- Login: AstraZeneca
- Kind: organization
- Location: Global
- Website: https://www.astrazeneca.com/
- Repositories: 33
- Profile: https://github.com/AstraZeneca
Data and AI: Unlocking new science insights
GitHub Events
Total
- Watch event: 1
- Public event: 1
- Push event: 2
- Fork event: 1
Last Year
- Watch event: 1
- Public event: 1
- Push event: 2
- Fork event: 1