object-detection-by-efficientdet
DATASET: https://universe.roboflow.com/hochschule-karlsruhe/unitysemseg/dataset/2 RESEARCH PAPER: https://drive.google.com/file/d/12hN5kOQ0N7-tpssuB5kKZBrYRfn8v0qI/view?usp=drive_link
https://github.com/eshagarg03/object-detection-by-efficientdet
Science Score: 18.0%
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
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○Academic links in README
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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 (1.0%) to scientific vocabulary
Last synced: 9 months ago
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Repository
DATASET: https://universe.roboflow.com/hochschule-karlsruhe/unitysemseg/dataset/2 RESEARCH PAPER: https://drive.google.com/file/d/12hN5kOQ0N7-tpssuB5kKZBrYRfn8v0qI/view?usp=drive_link
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- Stars: 0
- Watchers: 1
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Created over 2 years ago
· Last pushed over 2 years ago
Metadata Files
Citation
Owner
- Login: eshagarg03
- Kind: user
- Repositories: 1
- Profile: https://github.com/eshagarg03
Citation (citation-373709927.txt)
Serrano, Kanny & Bandala, Argel. (2023). YOLO-Based Terrain Classification for UAV Safe Landing Zone Detection. 1-5. 10.1109/TENSYMP55890.2023.10223656.