Augmenting Data Using AugLy

Data augmentation is an important part when the dataset we are using does not contain much information so we cannot use this data alone to make a model out of it because the model will not be generalized due to lack of information in the training data. Let's try to understand this by an example. Let say that we are trying to build an image classification model. The dataset we are using contains 10 classes and 100 images for each class. Now we can build the model, but the question is will it be generalized and optimized enough to use it for the prediction of a new dataset.