Image Classification is a fundamental task that attempts to comprehend an entire image as a whole. The main objective in this content is to classify the image by assigning it to a specific label.
This short script named as ImageClassifier aims to classify images of CFAR-10 datset. The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.
This scripts is tested on Python 3.7 and Pytorch 1.1