Moving MNIST

Moving MNIST is a benchmark data set for video recognition. There are 10,000 samples including 8,000 for training and 2,000 for test. Each sample consists of 20 sequential gray scale images of 64 x 64 patch, where two digits move in the sequences.

Data and Resources

Cite this as

Shin Kamada, Takumi Ichimura (2024). Dataset: Moving MNIST. https://doi.org/10.57702/cy4mtk4p

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.1811.09897
Citation
  • https://doi.org/10.48550/arXiv.1609.09444
  • https://doi.org/10.48550/arXiv.2303.07849
  • https://doi.org/10.48550/arXiv.1605.09673
Author Shin Kamada
More Authors
Takumi Ichimura
Homepage https://cs.toronto.edu/~nitish/unsupervised-video/