Sari Sabban

Sari Sabban

Dec 28, 2018

Group 6 Copy 97
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

    How does the struggle between sexual selection and natural selection drive the coloration of a tropical gecko?

    On animal coloration, sexual selection may promote conspicuousness while natural selection may favor crypsis...

    Probiotics for plants? Fighting insects by boosting corn immune systems

    Beneficial soil microorganisms can boost the plant immune system. We want to know if farming practices that...

    S-glutathionylation reactions in mitochondrial function and disease

    This project was an invited review that is currently under minor revision at Frontiers Cellular and Developmental...

    Backer Badge Funded