Everything about MNIST database
Database of handwritten digits
The MNIST database is a large database of handwritten digits that is commonly used for training various image processing systems. The database is also widely used for training and testing in the field of machine learning. It was created by "re-mixing" the samples from NIST's original datasets. The creators felt that since NIST's training dataset was taken from American Census Bureau employees, while the testing dataset was taken from American high school students, it was not well-suited for machine learning experiments. Furthermore, the black and white images from NIST were normalized to fit into a 28x28 pixel bounding box and anti-aliased, which introduced grayscale levels. Wikipedia →
🧠Start here: a 6-step reading path
- Read the overview: MNIST databaseA 5-minute orientation
- Read the landmark paper: The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]Cited 4,792 times
- Go sideways: LeNetA closely related topic
- Go sideways: Fashion-MNISTA closely related topic
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🗂️ The subject at a glance
🏆 Landmark papers (most cited)
The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]
Improved method of handwritten digit recognition tested on MNIST database
Handwritten Digits Identification Using Mnist Database Via Machine Learning Models
Design of a Low-area Digit Recognition Accelerator Using MNIST Database
AN INTELLIGENT ROLLING BEARING FAULT DIAGNOSIS METHOD OF CNN BASED ON MNIST DATABASE OF HANDWRITTEN DIGITS
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đź”— Related topics
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