|
--- |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: test |
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path: data/test-* |
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dataset_info: |
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features: |
|
- name: image |
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dtype: image |
|
- name: label |
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dtype: |
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class_label: |
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names: |
|
'0': A |
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'1': B |
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'2': C |
|
'3': D |
|
'4': E |
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'5': F |
|
'6': G |
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'7': H |
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'8': I |
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'9': J |
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splits: |
|
- name: train |
|
num_bytes: 6842235.510231657 |
|
num_examples: 14979 |
|
- name: test |
|
num_bytes: 1715013.5296924065 |
|
num_examples: 3745 |
|
download_size: 8865158 |
|
dataset_size: 8557249.039924063 |
|
task_categories: |
|
- image-classification |
|
- image-to-image |
|
- text-to-image |
|
- image-to-text |
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tags: |
|
- mnist |
|
- notmnist |
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pretty_name: notMNIST |
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size_categories: |
|
- 10K<n<100K |
|
--- |
|
# Dataset Card for "notMNIST" |
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## Overview |
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The notMNIST dataset is a collection of images of letters from A to J in various fonts. It is designed as a more challenging alternative to the traditional MNIST dataset, which consists of handwritten digits. The notMNIST dataset is commonly used in machine learning and computer vision tasks for character recognition. |
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## Dataset Information |
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|
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- Number of Classes: 10 (A to J) |
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- Number of Samples: 187,24 |
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- Image Size: 28 x 28 pixels |
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- Color Channels: Grayscale |
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## Dataset Structure |
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|
|
The dataset is split into a training set and a test set. Each class has its own subdirectory containing images of that class. The directory structure is as follows: |
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|
|
``` |
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notMNIST/ |
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|-- train/ |
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| |-- A/ |
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| |-- B/ |
|
| |-- ... |
|
| |-- J/ |
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| |
|
|-- test/ |
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| |-- A/ |
|
| |-- B/ |
|
| |-- ... |
|
| |-- J/ |
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``` |
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## Acknowledgements |
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|
|
- http://yaroslavvb.blogspot.com/2011/09/notmnist-dataset.html |
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- https://www.kaggle.com/datasets/lubaroli/notmnist |
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