Sari Sabban

Sari Sabban

Dec 28, 2018

Group 6 Copy 100
0
    Please wait...

    About This Project

    I think we have the technology to develop an artificial intelligence model that can differentiate between Dinoflagellates by simply examining their images. I will generate a database of 64 Dinoflagellate species, with 2000 images of each species. These images will feed an artificial neural network to train it to classify each species. My aim is to develop an image database of Dinoflagellate species, as well as a trained neural network that classifies them with greater than 99% accuracy.

    Blast off!

    Browse Other Projects on Experiment

    Related Projects

    An initial exploration of in-situ underwater genetic sequencing

    Our goal is to adapt portable genome sequencing technology for high-pressure, underwater environments. Currently...

    Sydney Harbour-ing unknown coral treasures

    Sydney Harbour is a long way from the Great Barrier Reef but is surprisingly home to scleractinian (hard...

    Sex in the sea: Uncovering the mating behavior of Giant Sea Bass

    I will be investigating the mating strategies and behavior of Giant Sea Bass. They have been largely overfished...

    Backer Badge Funded