Science Score: 31.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (0.8%) to scientific vocabulary
Last synced: 9 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: dataset-ninja
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 24 MB
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  • Watchers: 1
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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

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