EfficientPose
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color augmentation for custom dataset
@ybkscht , I wanted to know what will be the size of dataset after applying the color augmentation if 'n' is given as 2 in randaug.py
example: I have created a dataset of 1000 images, what will be the number of images the model will get trained on if 'n' is given as 2 in randaug.py?
i went through your code and i thought the final dataset will be 1000 + 1000*2 = 3000 images
Am i correct?
hello! I want to ask some questions about the production of datasets, can you give me some help?
Hi @jarvis-mark1, the size of the dataset will be the same as without augmentation because the color augmentation will be applied online during training. In RandAugment you got a list of possible augmentation techniques of which n will be sampled and applied to the image.