Image data augmentation using TensorFlow with Python

By Saket Singh

We are going to see what is data augmentation, why is it necessary, what are types of data augmentation and how we can perform it in Python by using TensorFlow.

we will be using Python throughout this topic.

Data augmentation helps us in expanding our dataset without actually adding any new data from the real world, it helps in preventing overfitting by increasing the size of our dataset which in turn helps in making our model more generalised.

We can do lots of thing with TensorFlow like :-

1. shearing

2. cropping

3. zooming

4. rotating

5. changing height

6. whitening

and a lot more with just few lines of code .

So, let's go and see what all we can do and most importantly how can we do.

To install TensorFlow:-

pip install tensorflow