Model-to-detect-Fashion-Accessories

Detects Fashion Accessories via Convolutional Neural Networks

For this project I used the Fashion-MNIST dataset, also available through torchvision. This dataset consists of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes: 0. T-shirt/top

1. Trouser
2. Pullover
3. Dress
4. Coat
5. Sandal
6. Shirt
7. Sneaker
8. Bag
9. Ankle boot