Test-Time Augmentation

Using data augmentation at inference time to make better predictions.

Most people think of data augmentation as a technique to improve their model during training.

Starting from an initial dataset, you can generate synthetic copies of each sample that will make a model resilient to variations in the data.

This is true, but there's something more you can do to improve your model's predictions.

Improving the process

Imagine you…