The MNIST database of handwritten digits
The MNIST database (Modified National Institute of Standards and Technology database) is a large database of handwritten digits that is commonly used for training various image processing systems.
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.
Rapid Analytics and Model Prototyping (RAMP) on MNIST handwritten digit classification
The goal of this RAMP is to classify correctly handwritten digits.