Fashion_Class_Classification
Problem Statement and Business Case
Fashion training set consists of 70,000 images divided into 60,000 training set and 10,000 testing samples. Dataset sample consists of 28 X 28 grayscale images, associated with a label from 10 classes.
** The 10 classes are as follows: ** 0 => T-shirt/top 1 => Trouser 2 => Pullover 3 => Dress 4 => Coat 5 => Sandal 6 => Shirt 7 => Sneaker 8 => Bag 9 => Ankle Boot
Each image is 28 pixels in height and 28 pixels in width; for a total of 784 pixels in total. Each pixel has a single pixel-value associated with it. Indicating the lightness or darkness of that pixel, with higher numbers meaning darker. This pixel-value is an integer between 0-255.