Datasets › N-MNIST
N-MNIST (Neuromorphic-MNIST)
Brief Description The Neuromorphic-MNIST (N-MNIST) dataset is a spiking version of the original frame-based MNIST dataset. It consists of the same 60 000 training and 10 000 testing samples as the original MNIST dataset, and is captured at the same visual scale as the original MNIST dataset (28x28 pixels). The N-MNIST dataset was captured by mounting the ATIS sensor on a motorized pan-tilt unit and having the sensor move while it views MNIST examples on an LCD monitor as shown in this video. A full description of the dataset and how it was created can be found in the paper below. Please cite this paper if you make use of the dataset.
Orchard, G.; Cohen, G.; Jayawant, A.; and Thakor, N. “Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades", Frontiers in Neuroscience, vol.9, no.437, Oct. 2015
Benchmarks archive 2025-07-28
All 4 leaderboards 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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Image Classification | N-MNIST | STS-ResNet Accuracy 99.6 | Convolutional Spiking Neural Networks for... | aa-samad/conv_snn | 4 | Compare |
| Document Image Classification | n-MNIST | Pixel-level RC Accuracy 97.62 | Pixel-level Reconstruction and Classification for Noisy... | — | 1 | Compare |
| Incomplete multi-view clustering | n-MNIST | COMPLETER NMI 75.23 | COMPLETER: Incomplete Multi-view Clustering via... | XLearning-SCU/2021-CVPR-Completer +1 | 1 | Compare |
| Partially View-aligned Multi-view Learning | n-MNIST | MvCLN NMI 93.09 | Partially View-aligned Representation Learning with... | XLearning-SCU/2021-CVPR-MvCLN | 1 | Compare |
Papers archive 2025-07-28
7 shown of 7 papers 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 14. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data | 1 | 1 | 13 Feb 2023 | not harvested |
| Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks | 1 | 1 | 30 May 2022 | ran 0 of 2 samples (2 unverified) |
| Sparse Spiking Gradient Descent | 1 | 1 | 18 May 2021 | not harvested |
| COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction | 2 | 1 | 22 Mar 2021 | not harvested |
| Partially View-aligned Representation Learning with Noise-robust Contrastive Loss | 1 | 1 | 1 Mar 2021 | not harvested |
| Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction | 1 | 1 | 27 Mar 2020 | not harvested |
| Pixel-level Reconstruction and Classification for Noisy Handwritten Bangla Characters | 0 | 1 | 21 Jun 2018 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- N-MNIST
1 variant name, as the archive lists them.
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