Sari Sabban

Sari Sabban

Dec 14, 2018

Group 6 Copy 51
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

Probiotics for wild boreal toads facing a deadly fungal disease

A fungal pathogen spread around the globe by human activities now threatens many amphibians, including boreal...

Can music influence the longevity of human blood cells?

Pythagoras believed that music could be used “in the place of medicine”* yet, to our knowledge, this important...

Backer Badge Funded