Science Score: 39.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 1 DOI reference(s) in README -
○Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (5.5%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
Repository
Data for Chinese chess detection
Basic Info
Statistics
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 2 years ago
· Last pushed almost 2 years ago
Metadata Files
Readme
Citation
README.md
Chinese Chess Detection Dataset
- Use AnyLabeling to annotate all data in
data/data_01anddata/data_02. - Run
make_data.shto generate the training data.
bash
conda create -n chessai-dataprep python=3.9
conda activate chessai-dataprep
pip install -r requirements.txt
bash make_data.sh
Citation
Please cite this paper if it helps your research:
bibtex
@software{Nguyen_ChessAI_Data_-_2023,author = {Nguyen, Viet-Anh},doi = {10.5281/zenodo.1234},month = nov,title = {{ChessAI Data - Data for Chinese chess game position recognition}},url = {https://github.com/nrl-ai/chessai-data},version = {1.0.0},year = {2023}}
Owner
- Name: Neural Research Lab
- Login: nrl-ai
- Kind: organization
- Email: contact@nrl.ai
- Location: Vietnam
- Website: https://nrl.ai
- Repositories: 1
- Profile: https://github.com/nrl-ai
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GitHub Events
Total
Last Year
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Viet-Anh NGUYEN (Andrew) | v****v@g****m | 7 |
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
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Dependencies
requirements.txt
pypi
- funcy ==2.0
- sahi ==0.11.14
- scikit-learn ==1.3.1
- scikit-multilearn ==0.2.0