synthetic-cracks-dataset
Synthetic Cracks Dataset
Science Score: 44.0%
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
Found .zenodo.json file -
○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 (0.2%) to scientific vocabulary
Last synced: 6 months ago
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Repository
Synthetic Cracks Dataset
Basic Info
- Host: GitHub
- Owner: dataset-ninja
- License: other
- Language: Python
- Default Branch: main
- Size: 39.1 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 2 years ago
· Last pushed 6 months ago
Metadata Files
Readme
License
Citation
README.md
Supervisely Synthetic Crack Segmentation
Supervisely Synthetic Crack Segmentation is a dataset for semantic segmentation task.
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 Supervisely Synthetic Crack Segmentation data, please cite the following reference:
``` bibtex
@dataset{Supervisely Synthetic Crack Segmentation,
author={Supervisely},
title={Supervisely Synthetic Crack Segmentation},
year={2023},
url={https://supervisely.com/blog/introducing-supervisely-synthetic-crack-segmentation-dataset/}
}
```
[Source](https://supervisely.com/blog/introducing-supervisely-synthetic-crack-segmentation-dataset/)
GitHub Events
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- Push event: 1
Last Year
- Push event: 1
Dependencies
requirements.txt
pypi