Science Score: 44.0%

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
    Found .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: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: dataset-ninja
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 42.7 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
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Created over 2 years ago · Last pushed 7 months ago
Metadata Files
Readme License Citation

README.md

KolektorSDD2: Kolektor Surface-Defect Dataset 2

KolektorSDD2 is a dataset for instance segmentation, semantic segmentation, object detection, and weakly-supervised learning tasks.

Owner

  • Name: dataset-ninja
  • Login: dataset-ninja
  • Kind: organization

Citation (CITATION.md)

If you make use of the KolektorSDD2 data, please cite the following reference:

```bibtex
@article{Bozic2021COMIND,
  author = {Bo{\v{z}}i{\v{c}}, Jakob and Tabernik, Domen and 
  Sko{\v{c}}aj, Danijel},
  journal = {Computers in Industry},
  title = {{Mixed supervision for surface-defect detection:
from weakly to fully supervised learning}},
  year = {2021}
}
```

[Source](https://www.vicos.si/resources/kolektorsdd2/)

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