Fruits Classification using Deep Learning

In this project, we will be classifying a fruit and displaying its name as output from the given photo of the fruit as input. The dataset consists of 33 selected different kinds of fruits. Each folder is named after a fruit and contains over 400 images of that fruit in different angles and lightings. Based on the given image, we need to classify the fruit as one of the 33 categories. Hence, we have trained a sequential model in keras to predict the name of the fruit with an image of a fruit as the input.