Skip to content

busekoseoglu/DataAugmentationTechniques

Repository files navigation

Data Augmentation Techniques

Data Augmentation Techniques with Keras, Opencv and Imgaug

In this short tutorial, I briefly explained data augmentation techniques. I used imgaug, opencv and keras libraries.

Collecting more data is a tedious and expensive process. If you can’t do it, you should try to make your data appear as if it was more diverse. To do that, use data augmentation techniques so that each time a sample is processed by the model, it’s slightly different from the previous time. This will make it harder for the model to learn parameters for each sample.

flipping

About

Data Augmentation Techniques with Keras, Opencv and Imgaug

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published