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MultiMNIST
创建来自Hello Dataset
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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}
}
🎉感谢Hello Dataset的贡献
数据集信息
应用场景MNIST
标注类型Classification
任务类型暂无
LicenseUnknown
更新时间2021-03-24 22:47:18
数据概要
数据格式Image
数据数量0
已标注数量0
文件大小43KB
版权归属方
Geoffrey E. Hinton
标注方
未知
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