Fashion Apparels Classification

Problem Statement

The problem is to classify the fashion apparels into 10 different categories. The dataset consists of 60,000 28x28 grayscale images of 10 fashion categories, along with a test set of 10,000 images. The class labels are:

0. Goggles
1. Hat
2. Jacket
3. Shirt
4. Shoes
5. Shorts
6. Trouser
7. T-Shirt
8. Wallet
9. Watch

Solution

The solution is to build a Convolutional Neural Network (CNN) model to classify the fashion apparels into 10 different categories. The model is built using TensorFlow and Keras.