industrial-optical-inspection
https://github.com/dataset-ninja/industrial-optical-inspection
Science Score: 31.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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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 (0.8%) to scientific vocabulary
Last synced: 9 months ago
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Repository
Basic Info
- Host: GitHub
- Owner: dataset-ninja
- License: other
- Language: Python
- Default Branch: main
- Size: 24 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created almost 3 years ago
· Last pushed over 1 year ago
Metadata Files
Readme
License
Citation
README.md
Weakly Supervised Learning for Industrial Optical Inspection
Industrial Optical Inspection 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
Citation (CITATION.md)
If you make use of the Industrial Optical Inspection data, please cite the following reference:
```bibtex
@dataset{wieler_matthias_2007_8086136,
author = {Wieler, Matthias and
Hahn, Tobias and
Hamprecht, Fred A.},
title = {{Weakly Supervised Learning for Industrial Optical
Inspection}},
month = sep,
year = 2007,
note = {{Acknowledgements The data was created by Matthias
Wieler and Tobias Hahn. This work was conducted at
the Robert Bosch Corporate Research department,
Schwieberdingen, Germany. We also thank the
participants in the contest, the participants of
the symposium who helped finance the competition
with their registration fees and the GNNS (German
Chapter of the European Neural Network Society)
for sponsoring the competition.}},
publisher = {Zenodo},
doi = {10.5281/zenodo.8086136},
url = {https://doi.org/10.5281/zenodo.8086136}
}
```
[Source](https://zenodo.org/record/8086136)
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Dependencies
requirements.txt
pypi