https://github.com/biigle/biigle
:factory: The base production setup of BIIGLE, the image and video annotation tool
Science Score: 39.0%
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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✓DOI references
Found 20 DOI reference(s) in README -
○Academic publication links
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (11.1%) to scientific vocabulary
Keywords
Repository
:factory: The base production setup of BIIGLE, the image and video annotation tool
Basic Info
- Host: GitHub
- Owner: biigle
- License: mit
- Language: Dockerfile
- Default Branch: master
- Homepage: https://biigle.de
- Size: 206 KB
Statistics
- Stars: 13
- Watchers: 2
- Forks: 9
- Open Issues: 4
- Releases: 0
Topics
Metadata Files
README.md
BIIGLE
The Bio-Image Indexing and Graphical Labelling Environment (BIIGLE) is a web service for the efficient and rapid annotation of still images and videos. Read the paper or take a look at the manual.
BIIGLE is available at biigle.de.
This is the production setup of a BIIGLE instance. You can fork this repository to customize your own production instance.
Installation
Head over to the admin documentation for installation instructions and more.
Support
If you have a question or request that is not a bug report or feature request, please start a new discussion about it.
Contributions and bug reports
Contributions to BIIGLE are always welcome. Check out biigle/core to get started.
Branches
master: The default setup of a BIIGLE instance.gpu: A setup of BIIGLE with GPU computing resources (see the docs).arm32v6: A setup for ARM 32bit platforms (e.g. Raspberry Pi).arm64v8: A setup for ARM 64bit platforms.
References
Reference publications that you should cite if you use BIIGLE for one of your studies.
BIIGLE 2.0 Langenkämper, D., Zurowietz, M., Schoening, T., & Nattkemper, T. W. (2017). Biigle 2.0-browsing and annotating large marine image collections. Frontiers in Marine Science, 4, 83. doi:
10.3389/fmars.2017.00083Observations From Four Years of BIIGLE 2.0 Zurowietz, M., & Nattkemper, T. W. (2021). Current Trends and Future Directions of Large Scale Image and Video Annotation: Observations From Four Years of BIIGLE 2.0. Frontiers in Marine Science, 8, 760036. doi:
10.3389/fmars.2021.760036Laser Point Detection Schoening, T., Kuhn, T., Bergmann, M., & Nattkemper, T. W. (2015). DELPHI—fast and adaptive computational laser point detection and visual footprint quantification for arbitrary underwater image collections. Frontiers in Marine Science, 2, 20. doi:
10.3389/fmars.2015.00020MAIA Zurowietz, M., Langenkämper, D., Hosking, B., Ruhl, H. A., & Nattkemper, T. W. (2018). MAIA—A machine learning assisted image annotation method for environmental monitoring and exploration. PloS one, 13(11), e0207498. doi:
10.1371/journal.pone.0207498UnKnoT Zurowietz, M., & Nattkemper, T. W. (2020). Unsupervised Knowledge Transfer for Object Detection in Marine Environmental Monitoring and Exploration. IEEE Access, 8, 143558-143568. doi:
10.1109/ACCESS.2020.3014441Video Object Tracking Lukezic, A., Vojir, T., ˇCehovin Zajc, L., Matas, J., & Kristan, M. (2017). Discriminative correlation filter with channel and spatial reliability. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 6309-6318). doi:
10.1109/CVPR.2017.515
Security Vulnerabilities
If you discover a security vulnerability within BIIGLE, please send an email to the BIIGLE team via info@biigle.de. All security vulnerabilities will be promptly addressed.
Owner
- Name: BIIGLE
- Login: biigle
- Kind: organization
- Location: Bielefeld University
- Website: https://biigle.de
- Repositories: 48
- Profile: https://github.com/biigle
GitHub Events
Total
- Release event: 5
- Watch event: 4
- Delete event: 8
- Push event: 20
- Pull request event: 18
- Create event: 15
Last Year
- Release event: 5
- Watch event: 4
- Delete event: 8
- Push event: 20
- Pull request event: 18
- Create event: 15
Issues and Pull Requests
Last synced: 7 months ago
All Time
- Total issues: 0
- Total pull requests: 9
- Average time to close issues: N/A
- Average time to close pull requests: 8 days
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 6
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 9
- Average time to close issues: N/A
- Average time to close pull requests: 8 days
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 6
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
- mzur (14)
- davidsean (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- mkdocs ==1.5.1