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 (0.6%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

PST-RGB

Basic Info
  • Host: GitHub
  • Owner: dataset-ninja
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 13.2 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed 7 months ago
Metadata Files
Readme License Citation

README.md

PST-RGB: Penn Subterranean Thermal RGB Dataset

PST-RGB 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 PST-RGB data, please cite the following reference:

``` bibtex
@misc{shivakumar2019pst900,
  title={PST900: RGB-Thermal Calibration, Dataset and Segmentation Network},
  author={Shreyas S. Shivakumar and Neil Rodrigues and Alex Zhou and Ian D. Miller and Vijay Kumar and Camillo J. Taylor},
  year={2019},
  eprint={1909.10980},
  archivePrefix={arXiv},
  primaryClass={cs.CV}
}
```

[Source](https://github.com/ShreyasSkandanS/pst900_thermal_rgb)

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Dependencies

requirements.txt pypi