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