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.
Browse Other Projects on Experiment
Personalized Cancer and Viral Therapy: Clostridium-based Cell Delivery System coupled to CRISPR/Cas9 Nanotherapeutic
One of the fundamental weaknesses in cancer treatment or any therapy based at the cellular level is entering...