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!pip install jovian --upgrade --quiet
import jovian
jovian.commit(project='Image Augmentation for more train data',
              environment=None, )
[jovian] Attempting to save notebook.. [jovian] Detected Kaggle notebook... [jovian] Please enter your API key ( from https://jovian.ml/ ): API KEY: ········ [jovian] Uploading notebook to https://jovian.ml/pk500/Image Augmentation for more train data

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Introduction

Image data augmentation is a technique that can be used to artificially expand the size of a training dataset by creating modified versions of images in the dataset.

Training deep learning neural network models on more data can result in more skillful models, and the augmentation techniques can create variations of the images that can improve the ability of the fit models to generalize what they have learned to new images.

Here I am trying to introduce few of the image augmentation techniques that are available in pytorch.