synthetic-cracks-dataset

Synthetic Cracks Dataset

https://github.com/dataset-ninja/synthetic-cracks-dataset

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 (0.2%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

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

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/)

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Dependencies

requirements.txt pypi