Datasets › AV-MNIST
AV-MNIST (Audio Visual MNIST)
This is a simple audio-visual dataset artificially assembled from independent visual and audio datasets. The first modality corresponds to 28 × 28 MNIST images, with 75% of their energy removed by PCA. The audio modality is made of audio samples on which we have computed 112 × 112 spectrograms. The audio samples are 25,102 pronounced digits of the Tidigits database augmented by adding randomly chosen noise samples from the ESC-50 dataset. Contaminated audio samples are randomly paired, accordingly with labels, with MNIST digits in order to reach 55,000 pairs for training and 10,000 pairs for testing. For validation we take 5000 samples from the training set.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 3 papers for it but never published that list.
Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
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License archive 2025-07-28
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Modalities archive 2025-07-28
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Languages archive 2025-07-28
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Variants archive 2025-07-28
- AV-MNIST
1 variant name, as the archive lists them.
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