https://github.com/tomtolleson/coralmorph
Species identification via deep learning analysis with Tensorflow. Source data is video from Coral City Camera operated by Coral Morphologic https://www.coralmorphologic.com/
https://github.com/tomtolleson/coralmorph
coral machine-learning ocean-sciences python tensorflow
Last synced: about 2 months ago
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Species identification via deep learning analysis with Tensorflow. Source data is video from Coral City Camera operated by Coral Morphologic https://www.coralmorphologic.com/
- Host: GitHub
- URL: https://github.com/tomtolleson/coralmorph
- Owner: TomTolleson
- License: mit
- Created: 2021-07-06T16:56:18.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2021-07-15T13:51:26.000Z (almost 4 years ago)
- Last Synced: 2025-02-15T05:19:10.727Z (3 months ago)
- Topics: coral, machine-learning, ocean-sciences, python, tensorflow
- Language: PowerShell
- Homepage:
- Size: 20.3 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Coral Morphologic
Species identification in video from Coral City Camera operated by Coral Morphologic
https://www.coralmorphologic.com/
Machine Learning and AI created for Coral Morphologic by Tom Tolleson
https://tomtolleson.github.io/
Languages and Tools:
# Phase 1
Step 1. Bounding boxes are created for each object in videos detected by the neural network. This is achieved using Python for annotation
/code/object_annotation.py
Step 2. Objects are identified by species
# Project Stats
Connect with me:
## License
[MIT](https://choosealicense.com/licenses/mit/)