image imagewidth (px) 28 28	label class label 10 classes
	55
	00
	44
	11
	99
	22
	11
	33
	11
	44
	33
	55
	33
	66
	11
	77
	22
	88
	66
	99
	44
	00
	99
	11
	11
	22
	44
	33
	22
	77
	33
	88
	66
	99
	00
	55
	66
	00
	77
	66
	11
	88
	77
	99
	33
	99
	88
	55
	99
	33
	33
	00
	77
	44
	99
	88
	00
	99
	44
	11
	44
	44
	66
	00
	44
	55
	66
	11
	00
	00
	11
	77
	11
	66
	33
	00
	22
	11
	11
	77
	99
	00
	22
	66
	77
	88
	33
	99
	00
	44
	66
	77
	44
	66
	88
	00
	77
	88
	33
	11

Dataset Card for "MNIST"

Quick Start

Usage

>>> from datasets.load import load_dataset

>>> dataset = load_dataset('whyen-wang/mnist')
>>> example = dataset['train'][0]
>>> print(example)
{'image': <PIL.PngImagePlugin.PngImageFile image mode=L size=28x28>,
 'label': 5}

Visualization

>>> import cv2
>>> import numpy as np
>>> from PIL import Image

>>> def visualize(example):
    image = np.array(example['image'])
    image = cv2.resize(image, (280, 280))
    cv2.putText(
        image, str(example['label']), (0, 50), cv2.FONT_HERSHEY_SIMPLEX,
        2, (255), 1, cv2.LINE_AA, False
    )
    return image

>>> Image.fromarray(example)

Dataset Summary

The MNIST database of handwritten digits, available from this page, has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image.

Supported Tasks and Leaderboards

Image Classification

Languages

None

Dataset Structure

Data Instances

An example looks as follows.

{
    "image": PIL.Image(mode="L"),
    "label": "0"
}

Data Fields

[More Information Needed]

Data Splits

name	train	test
default	60,000	10,000

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

[More Information Needed]

Contributions

Thanks to @github-whyen-wang for adding this dataset.

image imagewidth (px) 28 28	label class label 10 classes
	55
	00
	44
	11
	99
	22
	11
	33
	11
	44
	33
	55
	33
	66
	11
	77
	22
	88
	66
	99
	44
	00
	99
	11
	11
	22
	44
	33
	22
	77
	33
	88
	66
	99
	00
	55
	66
	00
	77
	66
	11
	88
	77
	99
	33
	99
	88
	55
	99
	33
	33
	00
	77
	44
	99
	88
	00
	99
	44
	11
	44
	44
	66
	00
	44
	55
	66
	11
	00
	00
	11
	77
	11
	66
	33
	00
	22
	11
	11
	77
	99
	00
	22
	66
	77
	88
	33
	99
	00
	44
	66
	77
	44
	66
	88
	00
	77
	88
	33
	11

image imagewidth (px) 28 28	label class label 10 classes
	55
	00
	44
	11
	99
	22
	11
	33
	11
	44
	33
	55
	33
	66
	11
	77
	22
	88
	66
	99
	44
	00
	99
	11
	11
	22
	44
	33
	22
	77
	33
	88
	66
	99
	00
	55
	66
	00
	77
	66
	11
	88
	77
	99
	33
	99
	88
	55
	99
	33
	33
	00
	77
	44
	99
	88
	00
	99
	44
	11
	44
	44
	66
	00
	44
	55
	66
	11
	00
	00
	11
	77
	11
	66
	33
	00
	22
	11
	11
	77
	99
	00
	22
	66
	77
	88
	33
	99
	00
	44
	66
	77
	44
	66
	88
	00
	77
	88
	33
	11

image imagewidth (px) 28 28	label class label 10 classes
	55
	00
	44
	11
	99
	22
	11
	33
	11
	44
	33
	55
	33
	66
	11
	77
	22
	88
	66
	99
	44
	00
	99
	11
	11
	22
	44
	33
	22
	77
	33
	88
	66
	99
	00
	55
	66
	00
	77
	66
	11
	88
	77
	99
	33
	99
	88
	55
	99
	33
	33
	00
	77
	44
	99
	88
	00
	99
	44
	11
	44
	44
	66
	00
	44
	55
	66
	11
	00
	00
	11
	77
	11
	66
	33
	00
	22
	11
	11
	77
	99
	00
	22
	66
	77
	88
	33
	99
	00
	44
	66
	77
	44
	66
	88
	00
	77
	88
	33
	11