MNIST

Modified National Institute of Standards and Technology

A database of handwritten digits used for training and testing machine learning algorithms in the field of image recognition.

The MNIST dataset consists of a set of 60,000 training images and 10,000 testing images, each of which is a 28×28 grayscale image of a handwritten digit. The digits in the images are labeled with the correct digit, ranging from 0 to 9. The dataset was created by modifying the original NIST dataset, which was used by the US government for handwriting recognition research.

The MNIST dataset is widely used in the field of machine learning, particularly for the development and testing of algorithms for image recognition and classification. Researchers and developers can use the dataset to train and test their algorithms, and compare their performance to other algorithms in the field.

Overall, MNIST is an important resource for the development and testing of machine learning algorithms, particularly in the field of image recognition. The dataset has helped to advance the state of the art in image recognition and classification, and continues to be an important benchmark for researchers and developers in the field.

• Abbreviation: MNIST