airs

Aerial Imagery for Roof Segmentation

https://github.com/dataset-ninja/airs

Science Score: 18.0%

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
  • .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: 10 months ago · JSON representation ·

Repository

Aerial Imagery for Roof Segmentation

Basic Info
  • Host: GitHub
  • Owner: dataset-ninja
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 22.4 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

README.md

AIRS: Aerial Imagery for Roof Segmentation

AIRS 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 AIRS data, please cite the following reference:

``` bibtex
@article{CHEN201942,
  title = {TEMPORARY REMOVAL: Aerial imagery for roof segmentation: A large-scale dataset towards automatic mapping of buildings},
  journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
  volume = {147},
  pages = {42-55},
  year = {2019},
  issn = {0924-2716},
  doi = {https://doi.org/10.1016/j.isprsjprs.2018.11.011},
  url = {https://www.sciencedirect.com/science/article/pii/S0924271618303083},
  author = {Qi Chen and Lei Wang and Yifan Wu and Guangming Wu and Zhiling Guo and Steven L. Waslander}
}
```

[Source](https://www.sciencedirect.com/science/article/pii/S0924271618303083)

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Dependencies

requirements.txt pypi