MNIST
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MNIST
The MNIST data set is the perhaps most commonly used Image Recognition dataset. It consists of 60,000 training and 10,000 test examples of handwritten digits. Each image is 28×28 pixels large. State of the art models typically achieve accuracies of 99.5% or higher on the test set.
Contributeurs: Evan Brach, Claire Gorjux, Claude Coulombe, Jacques Barolet, wiki