This is a project that utilizes Convolutional Neural Network (CNN) to classify images from the CIFAR-10 dataset, which comprises 60,000 32x32 color images across 10 different classes, including airplanes, cars, birds, cats, deer, dogs, frogs, horses, ships, and trucks.