/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/

Primary LanguagePowerShellMIT LicenseMIT

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:

python scikit_learn tensorflow

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

tomtolleson

Connect with me:

tomtolleson

License

MIT