While training can we have control over training data. For example if I’m doing hsv_h,hsv_s,hsv_v,it will apply to all my images. For model generalisation and to avoid over fitting can I apply augmentation to only 1/4 th of data. Rest will be original
It applies it randomly, so it’s not applied equally strong to all images. Sometimes it’s very slight that it’s almost not noticeable.
For model generalisation and to avoid over fitting can I apply augmentation to only 1/4 th of data
Overfitting occurs more strongly when you disable augmentations, not when you enable them.
Applying HSV augmentations partially isn’t supported.