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: [ Ссылка ]

Different Augmentations using transformations: [ Ссылка ]

Dogs-vs-cats dataset: [ Ссылка ]

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

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