This project performs image classification on the Cassava Leaf Disease data set using the pre-trained ResNet50 model to classify a leaf by disease.
The classifications are output to a .csv file where each leaf pictue is classified by a disease ID code. The overall validation accuracy through the image processing methods used with the ResNet50 pre-trained model was bout 75%.
This project was developed as part of the CS474 course at the University of Idaho.