MultiMNIST
Classification
MNIST
|...
许可协议: Unknown

Overview

The MultiMNIST training and test dataset is generated by overlaying a digit on top of another digit from the same set (training or test) but different class.

Data Collection

Each digit is shifted up to 4 pixels in each direction resulting in a 36×36 image. Considering a digit in a 28×28 image is bounded in a 20×20 box, two digits bounding boxes on average have 80% overlap. For each digit in the MNIST dataset we generate 1K MultiMNIST examples. So the training set size is 60M and the test set size is 10M.

Citation

@inproceedings{sabour2017dynamic,
  title={Dynamic routing between capsules},
  author={Sabour, Sara and Frosst, Nicholas and Hinton, Geoffrey E},
  booktitle={Advances in neural information processing systems},
  pages={3856--3866},
  year={2017}
}
数据概要
数据格式
Image,
数据量
--
文件大小
43.31MB
发布方
Geoffrey E. Hinton
Professor of Department of Computer Science @University of Toronto
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