paddy-rice-panicle-detection

UAV Imagery Dataset for Paddy Rice Panicle Detection

https://github.com/dataset-ninja/paddy-rice-panicle-detection

Science Score: 18.0%

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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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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 (0.8%) to scientific vocabulary

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Repository

UAV Imagery Dataset for Paddy Rice Panicle Detection

Basic Info

Host: GitHub
Owner: dataset-ninja
License: other
Language: Python
Default Branch: main
Size: 16.3 MB

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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

Paddy Rice Imagery Dataset for Panicle Segmentation

Paddy Rice Imagery is a dataset for instance segmentation, semantic segmentation, object detection, and semi-supervised learning 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 Paddy Rice Imagery data, please cite the following reference:

``` bibtex
@dataset{wang_hao_2021_4444741,
  author       = {Wang, Hao and
                  Lyu, Suxing},
  title        = {{UAV Imagery Dataset for Paddy Rice Panicle 
                   Detection}},
  month        = jan,
  year         = 2021,
  publisher    = {Zenodo},
  version      = {1.0},
  doi          = {10.5281/zenodo.4444741},
  url          = {https://doi.org/10.5281/zenodo.4444741}
}

@article{wang2021paddy,
  title={Paddy Rice Imagery Dataset for Panicle Segmentation},
  author={Wang, Hao and Lyu, Suxing and Ren, Yaxin},
  journal={Agronomy},
  volume={11},
  number={8},
  pages={1542},
  year={2021},
  publisher={Multidisciplinary Digital Publishing Institute}
}
```

[Source](https://zenodo.org/record/4444741/export/hx)

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