Can i exclude data augmentation for a particular class in multilabel dataset

[talhaanwarch]

Is there a way to exclude or include a class from being augmented while dealing with multilabels.
Here is the flow from data frame code snipped

  train_generator_1 = generator.flow_from_dataframe(dataframe,
                                                      directory=directory_path,
                                                      target_size=image_shape,
                                                      x_col="Image",
                                                      y_col=['C1'	,'C2'	,'C3',	'C4',	'C5'	,'C6'	,'C7',	'C8'],
                                                      class_mode='other',
                                                      shuffle=False,
                                                      batch_size=batch_size,
                                                      seed=7
                                                      )

The class C1, C2 and C3 have 10 time more instances than other classes, so i want to emphasis on minority classes. Is there a way to exclude C1, C2 and C3 from being augmented. Or minority classes to be augmented more than majority class.