data augmentation in CNN
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Hello
I am going to train a squeezenet to detect CT scans in two classes of people with covid19 and healthy people, assuming that each image is 512 x 512.
At least in the training phase, how many images should be present so that there is no need to data augmentation like rotation and addition of gaussian and.....
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Walter Roberson
on 24 Jun 2021
At least 83886080 images for training under the circumstances you describe.
... This should suggest to you that data augmentation is a very important stage.
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