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MultiMNIST

Introduced by Sara Sabour et al. in Dynamic Routing Between Capsules1 Jan 2017 archive 2025-07-28

The MultiMNIST dataset is generated from MNIST. The training and tests are generated by overlaying a digit on top of another digit from the same set (training or test) but different class. 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 1,000 MultiMNIST examples are generated, so the training set size is 60M and the test set size is 10M.

Source: https://arxiv.org/pdf/1710.09829.pdf Image Source: Sabour et al

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Image Classification MultiMNIST CapsNet Percentage error 5.2 Dynamic Routing Between Capsules labmlai/annotated_deep_learning_paper_implementations +76 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 52. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Dynamic Routing Between Capsules 77 1 26 Oct 2017 ran 18 of 118 samples (100 unverified; 12 pointer-only for licence)

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

License archive 2025-07-28

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Modalities archive 2025-07-28

Languages archive 2025-07-28

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Variants archive 2025-07-28

  • MultiMNIST

1 variant name, as the archive lists them.

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