yellow-sticky-traps-detection
Code for our paper Faster R-CNN and EfficientNet for Accurate Insect Identification in a Relabeled Yellow Sticky Traps Dataset
Science Score: 51.0%
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
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○.zenodo.json file
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✓DOI references
Found 1 DOI reference(s) in README -
✓Academic publication links
Links to: ieee.org, zenodo.org -
✓Committers with academic emails
1 of 2 committers (50.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (4.3%) to scientific vocabulary
Keywords
Repository
Code for our paper Faster R-CNN and EfficientNet for Accurate Insect Identification in a Relabeled Yellow Sticky Traps Dataset
Basic Info
- Host: GitHub
- Owner: md-121
- License: apache-2.0
- Language: Python
- Default Branch: main
- Homepage: https://ieeexplore.ieee.org/abstract/document/9628708
- Size: 44.9 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
- Releases: 0
Topics
Metadata Files
README.md
Yellow Sticky Traps Insect Detection Code
Detection and Classification of Insects caught by Yellow Sticky Traps. Code for our paper Faster R-CNN and EfficientNet for Accurate Insect Identification in a Relabeled Yellow Sticky Traps Dataset published in 2021 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor).
Dataset
The used dataset can be found in the yellow-sticky-traps-dataset repository.
Checkpoints
Model checkpoints are available at Zenodo.
Citation
@INPROCEEDINGS{9628708,
author={Deserno, Maurice and Briassouli, Alexia},
booktitle={2021 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)},
title={Faster R-CNN and EfficientNet for Accurate Insect Identification in a Relabeled Yellow Sticky Traps Dataset},
year={2021},
volume={},
number={},
pages={209-214},
doi={10.1109/MetroAgriFor52389.2021.9628708}
}
Owner
- Name: Maurice Deserno
- Login: md-121
- Kind: user
- Location: Germany
- Company: University of Cologne
- Repositories: 1
- Profile: https://github.com/md-121
Ph.D. student at University of Cologne. Applying AI to biological and medical challenges at Center for Molecular Medicine Cologne (CMMC).
Citation (CITATION.bib)
@INPROCEEDINGS{9628708,
author={Deserno, Maurice and Briassouli, Alexia},
booktitle={2021 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)},
title={Faster R-CNN and EfficientNet for Accurate Insect Identification in a Relabeled Yellow Sticky Traps Dataset},
year={2021},
volume={},
number={},
pages={209-214},
doi={10.1109/MetroAgriFor52389.2021.9628708}
}
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Maurice Deserno | m****o@s****l | 7 |
| Maurice Deserno | 4****1 | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: about 2 years ago
All Time
- Total issues: 3
- Total pull requests: 0
- Average time to close issues: 16 days
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- Total issue authors: 1
- Total pull request authors: 0
- Average comments per issue: 1.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 3
- Pull requests: 0
- Average time to close issues: 16 days
- Average time to close pull requests: N/A
- Issue authors: 1
- Pull request authors: 0
- Average comments per issue: 1.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
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Top Authors
Issue Authors
- mnuriyumusak (2)