CODEWITHSUNDEEP
python-3.xdeep-learningconv-neural-networkgenerative-adversarial-network
Ashna Eldho
Ashna Eldho

Reputation: 482

How can I generate more images for training from few input images?

I am trying to train a classification network. For my classification purpose, I don't have any publicly available data set. For deep ConvNets, large number of training data is needed. It is really time consuming to create such a large data set. Is there any way to generate large number of images from few images? For example, 1000 images from a few 20 images for training.

If someone knows the answer, kindly help me. Thanking you in advance.

Upvotes: 0

Views: 120

Answers (1)

theletz
theletz

Reputation: 1805

You can use image augmentation for generating more images (for example flipping the image)

https://pytorch.org/docs/stable/torchvision/transforms.html

Upvotes: 2

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