- **Description**:
The MNIST database of handwritten digits.
- **Additional Documentation** :
[Explore on Papers With Code](https://paperswithcode.com/dataset/mnist)
- **Homepage** :
- **Source code** :
[`tfds.image_classification.MNIST`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/image_classification/mnist.py)
- **Versions**:
- **`3.0.1`** (default): No release notes.
- **Download size** : `11.06 MiB`
- **Dataset size** : `21.00 MiB`
- **Auto-cached**
([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):
Yes
- **Splits**:
| Split | Examples |
|---|---|
| `'test'` | 10,000 |
| `'train'` | 60,000 |
- **Feature structure**:
FeaturesDict({
'image': Image(shape=(28, 28, 1), dtype=uint8),
'label': ClassLabel(shape=(), dtype=int64, num_classes=10),
})
- **Feature documentation**:
| Feature | Class | Shape | Dtype | Description |
|---|---|---|---|---|
| | FeaturesDict | | | |
| image | Image | (28, 28, 1) | uint8 | |
| label | ClassLabel | | int64 | |
- **Supervised keys** (See
[`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)):
`('image', 'label')`
- **Figure**
([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):
- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):
- **Citation**:
@article{lecun2010mnist,
title={MNIST handwritten digit database},
author={LeCun, Yann and Cortes, Corinna and Burges, CJ},
journal={ATT Labs [Online]. Available: http://yann.lecun.com/exdb/mnist},
volume={2},
year={2010}
}