Science Score: 18.0%
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
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○.zenodo.json file
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○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: 10 months ago
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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
- Repositories: 1
- Profile: https://github.com/dataset-ninja
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