Hello Everyone,
Actually, I followed many Pytorch tutorials and I found that most of them speak about how to implement Custom Datasets and I am wondering why they are so important?
Especially in computer vision where All datasets follow certain organizational patterns and there are built-in functions to load the data easily (in torchvision).
So what makes me choose to implement a custom dataset?
Thank you in advance