Sari Sabban

Sari Sabban

Nov 20, 2018

Group 6 Copy 43
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

Are cryptic characteristics preventing the protection of two similar Sphingidae moths?

This project is aimed at understanding the morphological differences between two species of Sphingidae...

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...

Community-based Leishmaniasis research in Sri Lanka

Leishmaniasisis a neglected tropical parasitic diseases in the world and is spread by the bite of sand flies...

Backer Badge Funded