RMNIST/N: Train MNIST dataset with only TEN samples

RMNIST/N is a dataset that reduces MNIST with N examples for each digit class. In this way, RMNIST/1 has 1 training example for each digit, for a total of only 10 training examples. This article presents how a digits recognizer can be trained on only ten samples from the whole MNIST dataset. Data augmentation is used during the training. Ablation study is also made.

Kelley Kan HUANG
Kelley Kan HUANG
Engineer (PI)

My research interests include distributed robotics, mobile computing and programmable matter.