synthetic-plants
Science Score: 44.0%
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
Found .zenodo.json file -
○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
Last synced: 6 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: 72.3 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
Synthetic RGB-D Data for Plant Segmentation
Synthetic Plants 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 Synthetic Plants data, please cite the following reference:
``` bibtex
@dataset{Synthetic Plants,
author={El Baha Farouk},
title={Synthetic RGB-D Data for Plant Segmentation},
year={2018},
url={https://www.kaggle.com/datasets/harlequeen/synthetic-rgbd-images-of-plants}
}
```
[Source](https://www.kaggle.com/datasets/harlequeen/synthetic-rgbd-images-of-plants)
GitHub Events
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