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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.

Kelp Gif

Contribute

If you find an issue using the tool, bug report can be files using the following links. Comments or questions are also greatly appreciated!

License

The project is released under the MIT license

Authors

  • Taylor Denouden trained the neural networks and wrote the code and documentation.
  • Luba Reshitnyk assembled the training dataset to produce the tool.
  • Sarah Schroeder created the Beginner Guide.