Optical Recognition of Handwritten Digits
The DIGITS dataset consists of 1797 8×8 grayscale images (1439 for training and 360 for testing) of handwritten digits.
Source: Differentially Private Variational Dropout
Image Source: https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html
Variants: Optical Recognition of Handwritten Digits, Digits
This dataset is used in 2 benchmarks:
| Task | Model | Paper | Date |
|---|---|---|---|
| Graph Classification | sKNN-LDS | Mutual Information Maximization in Graph … | 2019-05-21 |
Recent papers with results on this dataset: