Sari Sabban

Sari Sabban

Apr 03, 2019

Group 6 Copy 109
-1
    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...

    Discovering Backyard Biodiversity in South Dakota

    Many people know that pollinators (especially bees) are in trouble due to habitat loss, improper pesticide...

    Why do tiger sharks swim up and down the water column? – An up-close view of their vertical movements

    Tiger sharks are among the strangest behaving sharks in our oceans. They eat everything from turtles to...

    Backer Badge Funded