Getting Insights into Images and their Metadata

A Machine Learning project that distinguishes between healthy and rotten images of an apple plant using VGG-16 and Discriminant Analysis. Feature extraction was done using the top layer of a pretrained VGG-16 and and then predictions were made using Discriminant Analysis. Explanations about the predictions were also given via methods such as 'Sensitivity Analysis' and 'SmoothGrad'.