Hi, I have created a CNN model using ResNet50, to classify my images according to the 'RealCeleb' or 'FakeCeleb' labels where they have another celebs pasted on their body, i.e. deepfake.
Class 1 = Celeb1: 'RealCeleb', Class 2 = Celeb2 : 'RealCeleb', Class 3 = Image 1 + Celeb 2's face from Image 2 : 'FakeCeleb'
When testing the network using another image of Celeb 2 (that is not in my training set), I found that it would sometimes match with Class 2, which is correct and othertimes with class 3, which is also technically correct.
Q1. Would uploading more pictures into class 2 reduce the likelihood of class 3 being predicted?
Q2. Is there a better way of doing this, i.e. using another deep learning model? and why would you recommend it?