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MultiMNIST

MultiMNIST

Scene:

MNIST

Data Type:

Classification
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Data Preview ? 43.31M

    Data Structure ?

    *数据结构实际以真实数据为准

    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}
    }


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