uavid

UAVid Semantic Segmentation Dataset

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

Science Score: 31.0%

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CITATION.cff file
Found 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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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (0.6%) to scientific vocabulary

Last synced: 10 months ago · JSON representation ·

Repository

UAVid Semantic Segmentation Dataset

Basic Info

Host: GitHub
Owner: dataset-ninja
License: other
Language: Python
Default Branch: main
Size: 23.1 MB

Statistics

Stars: 0
Watchers: 2
Forks: 0
Open Issues: 0
Releases: 0

Created almost 3 years ago · Last pushed over 1 year ago

Metadata Files

Readme License Citation

README.md

UAVid: A Semantic Segmentation Dataset for UAV Imagery

UAVid is a dataset for instance segmentation, semantic segmentation, and object detection tasks.

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 UAVid data, please cite the following reference:

```bibtex
@article{LYU2020108,
  author = "Ye Lyu and George Vosselman and Gui-Song Xia and Alper Yilmaz and Michael Ying Yang",
  title = "UAVid: A semantic segmentation dataset for UAV imagery",
  journal = "ISPRS Journal of Photogrammetry and Remote Sensing",
  volume = "165",
  pages = "108 - 119",
  year = "2020",
  issn = "0924-2716",
  doi = "https://doi.org/10.1016/j.isprsjprs.2020.05.009",
  url = "http://www.sciencedirect.com/science/article/pii/S0924271620301295",
}

When using the UAVid-depth dataset in your research, please cite:
@article{uaviddepth21,
  Author = {Logambal Madhuanand and Francesco Nex and Michael Ying Yang},
  Title = {Self-supervised monocular depth estimation from oblique UAV videos},
  journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
  year = {2021},
  volume = {176},
  pages = {1-14},
}
```

[Source](https://uavid.nl/)

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