Omkar2118/datasets huggingface dataset:
Fashion-MNIST

**Fashion-MNIST** is a dataset comprising of 28×28 grayscale images of 70,000 fashion products from 10 categories, with 7,000 images per category. The training set has 60,000 images and the test set has 10,000 images. Fashion-MNIST shares the same image size, data format and the structure of training and testing splits with the original MNIST.

Source: [Generative Probabilistic Novelty Detection with Adversarial Autoencoders](https://arxiv.org/abs/1807.02588)
Image Source: [https://github.com/zalandoresearch/fashion-mnist](https://github.com/zalandoresearch/fashion-mnist)

Introducing paper: Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms