https://github.com/bluegreen-labs/insect_detector_demo
YOLOv8 based insect detector demo
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
○codemeta.json file
-
○.zenodo.json file
-
✓DOI references
Found 1 DOI reference(s) in README -
○Academic publication links
-
○Committers with academic emails
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (7.1%) to scientific vocabulary
Repository
YOLOv8 based insect detector demo
Basic Info
- Host: GitHub
- Owner: bluegreen-labs
- Language: JavaScript
- Default Branch: master
- Homepage: https://bluegreen-labs.github.io/insect_detector_demo/
- Size: 49.8 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Insect detector demo
Quick online showcase of an insect finder based upon the YOLOv8 architecture. This demo allows you to upload a demo image for annotation (see sample image).
It demonstrates the high accuracy of finding insects in/on institutional collection drawers, allowing for quick inventory creation (counts) of collections.
This demo only considers the presence or absence of any insect, not the order/family/species of insect in the image. Improvements of the model in this direction can be made, but requires (much) more annotation data (i.e. labels). Curently only 16 drawers were used across different orders to train a simple (nano scale) YOLOv8 model (in order to support it to run in a browser). A larger model, based on YOLOv8l, attained higher accuracies but is not compatible with an online demo.
You can test the model on an example image of a whole-drawer insect collection as described in Mantle et al. 2012. Save the file locally and upload it for classification.
INSECT MONITOR DEMO / or click top right for the same link.
Acknowledgements
All credit for the react based webpage goes to Wahyu Setianto, with the exception of minor changes to automated deployment (github runner) and the fine tuned YOLOv8n insect classification model which are mine.
Reference
Mantle et al. (2012). "Whole-drawer imaging for digital management and curation of a large entomological collection". ZooKeys 209: 147. DOI:10.3897/zookeys.209.3169.
Owner
- Name: BlueGreen Labs
- Login: bluegreen-labs
- Kind: organization
- Email: info@bluegreenlabs.org
- Location: Melsele, Belgium
- Website: http://bluegreenlabs.org
- Repositories: 17
- Profile: https://github.com/bluegreen-labs
BlueGreen open science labs & consulting, providing environmental research infrastructure and editorial solutions.
GitHub Events
Total
Last Year
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Koen Hufkens | k****s@g****m | 17 |
| Wahyu Setianto | w****9@g****m | 3 |
Issues and Pull Requests
Last synced: over 2 years 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
Pull Request Labels
Dependencies
- JamesIves/github-pages-deploy-action v4 composite
- actions/checkout v3 composite
- @craco/craco ^7.0.0 development
- copy-webpack-plugin ^11.0.0 development
- gh-pages ^4.0.0 development
- @techstark/opencv-js 4.5.5-release.2
- onnxruntime-web ^1.13.1
- react ^18.2.0
- react-dom ^18.2.0
- react-scripts 5.0.1
- 1212 dependencies