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 (0.6%) to scientific vocabulary
Last synced: 6 months ago
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JSON representation
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Repository
FoodSeg103 Dataset
Basic Info
- Host: GitHub
- Owner: dataset-ninja
- License: other
- Language: Python
- Default Branch: main
- Size: 61.9 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created almost 2 years ago
· Last pushed 7 months ago
Metadata Files
Readme
License
Citation
README.md
FoodSeg103 Dataset
FoodSeg103 is a dataset for 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 FoodSeg103 data, please cite the following reference:
``` bibtex
@inproceedings{wu2021foodseg,
title={A Large-Scale Benchmark for Food Image Segmentation},
author={Wu, Xiongwei and Fu, Xin and Liu, Ying and Lim, Ee-Peng and Hoi, Steven CH and Sun, Qianru},
booktitle={Proceedings of ACM international conference on Multimedia},
year={2021}
}
```
[Source](https://xiongweiwu.github.io/foodseg103.html)
GitHub Events
Total
- Push event: 2
Last Year
- Push event: 2
Dependencies
requirements.txt
pypi