Dataset Card for "notMNIST"

Overview

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.

Dataset Information

• Number of Classes: 10 (A to J)
• Number of Samples: 187,24
• Image Size: 28 x 28 pixels
• Color Channels: Grayscale

Dataset Structure

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:

notMNIST/
|-- train/
|   |-- A/
|   |-- B/
|   |-- ...
|   |-- J/
|
|-- test/
|   |-- A/
|   |-- B/
|   |-- ...
|   |-- J/

Acknowledgements

• http://yaroslavvb.blogspot.com/2011/09/notmnist-dataset.html
• https://www.kaggle.com/datasets/lubaroli/notmnist