Part-1: Dataloaders for different scenarios of data augmentation in PyTorch

This video and upcoming videos will show how we can create data loaders for different scenarios of data augmentation in PyTorch.
Scenario -1: one augmented image from one input image.
Scenario-2: Using augmentation for increasing dataset, multiple augmented images from one input image.
Scenario-3: Using augmentation for increasing dataset of selective classes.

Links:
Codes: https://github.com/anujshah1003/datal...

Different Augmentations using transformations: https://pytorch.org/vision/stable/aut...

Dogs-vs-cats dataset: https://www.kaggle.com/c/dogs-vs-cats...

#DeepLearning #PyTorch #Dataloaders in Pytorch #Data Augmentation in Pytorch #DataAugmentation #Augmentation for increasing dataset size
#Custom Collate Function in PyTorch