Kelp-O-Matic
Segmentation Tools for Remotely Sensed RPAS Imagery
Getting Started
Please see the Beginner Guide if you are new to Anaconda and command line tools.
If you have worked with Anaconda before, start with the more brief installation instructions, followed by the documentation for the CLI or Python API.
Features
- Kelp presence/absence detection in RGB RPAS imagery.
- Kelp macrocystis/nereocystis detection in RGB RPAS imagery.
- Mussel presence/absence detection in RGB RPAS imagery.
Contribute
Please file a bug report using our GitHub Issue Tracker if you encounter any problems.
Comments and questions are also appreciated!
License
Kelp-O-Matic is released under the MIT license.
Contact
This project was co-created at the Hakai Institute by:
- Taylor Denouden (Machine Learning, Software Development)
- Luba Reshitnyk (Scientific Application, Data Collation and Labelling)