remote-sensing-land-cover-dataset
LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
https://github.com/dataset-ninja/remote-sensing-land-cover-dataset
Science Score: 44.0%
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✓CITATION.cff file
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✓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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○Scientific vocabulary similarity
Low similarity (0.2%) to scientific vocabulary
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Repository
LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
Basic Info
- Host: GitHub
- Owner: dataset-ninja
- License: other
- Language: Python
- Default Branch: main
- Size: 40.3 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
LoveDA: Land-cOVEr Domain Adaptive Semantic Segmentation
LoveDA 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 LoveDA - A Remote Sensing Land-Cover data, please cite the following reference:
```bibtex
@inproceedings{NEURIPS DATASETS AND BENCHMARKS2021_4e732ced,
author = {Wang, Junjue and Zheng, Zhuo and Ma, Ailong and Lu, Xiaoyan and Zhong, Yanfei},
booktitle = {Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks},
editor = {J. Vanschoren and S. Yeung},
pages = {},
publisher = {Curran Associates, Inc.},
title = {LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation},
url = {https://datasets-benchmarks-proceedings.neurips.cc/paper_files/paper/2021/file/4e732ced3463d06de0ca9a15b6153677-Paper-round2.pdf},
volume = {1},
year = {2021}
}
@dataset{junjue_wang_2021_5706578,
author={Junjue Wang and Zhuo Zheng and Ailong Ma and Xiaoyan Lu and Yanfei Zhong},
title={Love{DA}: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation},
month=oct,
year=2021,
publisher={Zenodo},
doi={10.5281/zenodo.5706578},
url={https://doi.org/10.5281/zenodo.5706578}
}
```
[Source](https://github.com/Junjue-Wang/LoveDA#citation)
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Dependencies
requirements.txt
pypi