How to Use Test-Time Augmentation to Improve Model Performance for Image Classification


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How to Use Test-Time Augmentation to Improve Model Performance for Image Classification

Data augmentation is a technique often used to improve performance and reduce generalization error when training neural network models for computer vision problems.
The image data augmentation technique can also be applied when making predictions with a fit model in order to allow the model to make predictions for multiple different versions of each image in the test dataset. The predictions on the augmented images can be averaged, which can result in better predictive performance.
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