40996 Fashion-MNIST 1 **Author**: Han Xiao, Kashif Rasul, Roland Vollgraf **Source**: [Zalando Research](https://github.com/zalandoresearch/fashion-mnist) **Please cite**: Han Xiao and Kashif Rasul and Roland Vollgraf, Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms, arXiv, cs.LG/1708.07747 Fashion-MNIST is a dataset of Zalando's article images, consisting 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. Fashion-MNIST is intended to serve as a direct drop-in replacement for the original MNIST dataset for benchmarking machine learning algorithms. It shares the same image size and structure of training and testing splits. Raw data available at: https://github.com/zalandoresearch/fashion-mnist ### Target classes Each training and test example is assigned to one of the following labels: Label Description 0 T-shirt/top 1 Trouser 2 Pullover 3 Dress 4 Coat 5 Sandal 6 Shirt 7 Sneaker 8 Bag 9 Ankle boot 1 ARFF Han XiaoKashif RasulRoland Vollgraf 2017-12-20T13:28:27 Public https://api.openml.org/data/v1/download/18238735/Fashion-MNIST.arff https://openml1.win.tue.nl/datasets/0004/40996/dataset_40996.pq 18238735 class 1.0 @online{xiao2017/online, author = {Han Xiao and Kashif Rasul and Roland Vollgraf}, title = {Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms}, date = {2017-08-28}, year = {2017}, eprintclass = {cs.LG}, eprinttype = {arXiv}, eprint = {cs.LG/1708.07747}, } MeteorologyOpenML-CC18study_218study_99Transportationvision public https://github.com/zalandoresearch/fashion-mnist Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms. Han Xiao, Kashif Rasul, Roland Vollgraf. arXiv:1708.07747 https://openml1.win.tue.nl/datasets/0004/40996/dataset_40996.pq active 2018-10-04 07:21:31 cdfc9c58cb9fe86ffaa76af247ae2ef2