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Moving MNIST
2D Box Tracking
MNIST
|...
License: Unknown

Overview

Unsupervised Learning of Video Representations using LSTMs

Long-term Future Prediction
imgimgimgimgimgimgimgimgimgimg

A test set for evaluating sequence prediction/reconstruction

Moving MNIST [782Mb]
contains 10,000 sequences each of length 20 showing 2 digits moving in a 64 x 64 frame.

The
results in the updated arxiv paper use this test set to report numbers. For future prediction,
the metric is cross entropy loss for predicting the last 10 frames for each sequence conditioned
on the first 10 frames.

Citation

Please use the following citation when referencing the dataset:

@inproceedings{srivastava2015unsupervised,
  title={Unsupervised learning of video representations using lstms},
  author={Srivastava, Nitish and Mansimov, Elman and Salakhudinov, Ruslan},
  booktitle={International conference on machine learning},
  pages={843--852},
  year={2015}
}
Data Summary
Type
Image,
Amount
10K
Size
781.25MB
Provided by
University of Toronto
The University of Toronto is a public research university in Toronto, Ontario, Canada, situated on the grounds that surround Queen's Park. Academically, the University of Toronto is noted for influential movements and curricula in literary criticism and communication theory, known collectively as the Toronto School.
| Amount 10K | Size 781.25MB
Moving MNIST
2D Box Tracking
MNIST
License: Unknown

Overview

Unsupervised Learning of Video Representations using LSTMs

Long-term Future Prediction
imgimgimgimgimgimgimgimgimgimg

A test set for evaluating sequence prediction/reconstruction

Moving MNIST [782Mb]
contains 10,000 sequences each of length 20 showing 2 digits moving in a 64 x 64 frame.

The
results in the updated arxiv paper use this test set to report numbers. For future prediction,
the metric is cross entropy loss for predicting the last 10 frames for each sequence conditioned
on the first 10 frames.

Citation

Please use the following citation when referencing the dataset:

@inproceedings{srivastava2015unsupervised,
  title={Unsupervised learning of video representations using lstms},
  author={Srivastava, Nitish and Mansimov, Elman and Salakhudinov, Ruslan},
  booktitle={International conference on machine learning},
  pages={843--852},
  year={2015}
}
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