The exact pre-processing steps used to construct the MNIST dataset have long been lost. This leaves us with no reliable way to associate its characters with the ID of the writer and little hope to recover the full MNIST testing set that had 60K images but was never released. The official MNIST testing set only contains 10K randomly sampled images and is often considered too small to provide meaningful confidence intervals.
The QMNIST dataset was generated from the original data found in the NIST Special Database 19 with the goal to match the MNIST preprocessing as closely as possible.
QMNIST is licensed under the BSD-style license.
Source: https://github.com/facebookresearch/qmnist
Image Source: https://github.com/facebookresearch/qmnist
Variants: QMNIST
This dataset is used in 2 benchmarks:
| Task | Model | Paper | Date |
|---|---|---|---|
| Fine-Grained Image Classification | VGG-5 | ProgressiveSpinalNet architecture for FC layers | 2021-03-21 |
| Image Classification | Deep regularization | Deep regularization and direct training … | 2020-02-19 |
Recent papers with results on this dataset: