Abstract: Potatoes are edible tubers, available worldwide and all year long. They are relatively cheap to grow, rich in
nutrients, and they can make a delicious treat. The humble potato has fallen in popularity in recent years, due to the interest
in low-carb foods. However, the fiber, vitamins, minerals, and phytochemicals it provides can help ward off disease and
benefit human health. They are an important staple food in many countries around the world. There are an estimated 200
varieties of potatoes, which can be classified into a number of categories based on the cooked texture and ingredient
functionality. Using a public dataset of 2400 images of potatoes, we trained a deep convolutional neural network to identify
4 types (Red, Red Washed, Sweet, and White).The trained model achieved an accuracy of 99.5% of test set, demonstrating
the feasibility of this approach.