sugar-beets-2016
Science Score: 31.0%
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
Found codemeta.json file -
○.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 (0.6%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
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Repository
Basic Info
- Host: GitHub
- Owner: dataset-ninja
- License: other
- Language: Python
- Default Branch: main
- Size: 23.4 MB
Statistics
- Stars: 0
- Watchers: 1
- 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
Sugar Beets 2016: Agricultural Robot Dataset for Plant Classification, Localization and Mapping on Sugar Beet Fields
Sugar Beets 2016 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 Sugar Beets 2016 data, please cite the following reference:
```bibtex
@article{chebrolu2017ijrr,
title = {Agricultural robot dataset for plant classification, localization and mapping on sugar beet fields},
author = {Nived Chebrolu and Philipp Lottes and Alexander Schaefer and Wera Winterhalter and Wolfram Burgard and Cyrill Stachniss},
journal = {The International Journal of Robotics Research},
year = {2017}
doi = {10.1177/0278364917720510},
}
```
[Source](https://www.ipb.uni-bonn.de/data/sugarbeets2016/)
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