wood-defect-detection
Wood Defect Detection: Supporting data for Deep Learning and Machine Vision based approaches for automated wood defect detection and quality control
Science Score: 26.0%
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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○DOI references
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○Academic publication links
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○Scientific vocabulary similarity
Low similarity (1.8%) to scientific vocabulary
Last synced: 10 months ago
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Repository
Wood Defect Detection: Supporting data for Deep Learning and Machine Vision based approaches for automated wood defect detection and quality control
Basic Info
- Host: GitHub
- Owner: dataset-ninja
- License: other
- Language: Python
- Default Branch: main
- Size: 40.9 MB
Statistics
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Created about 3 years ago
· Last pushed 10 months ago
Metadata Files
Readme
License
Citation
README.md
Supporting Data for Deep Learning and Machine Vision Based Approaches for Automated Wood Defect Detection and Quality Control
Wood Defect Detection is a dataset for instance segmentation, semantic segmentation, and object detection tasks.
Owner
- Name: dataset-ninja
- Login: dataset-ninja
- Kind: organization
- Repositories: 1
- Profile: https://github.com/dataset-ninja
GitHub Events
Total
- Watch event: 1
- Push event: 2
Last Year
- Watch event: 1
- Push event: 2