I am currently working on a binary image classification. My problem is that when i use data augmentation, it incorrectly labels the images when it is set to binary.
The things i have tried:
Looked for incorrectly labeled classes on images before augmenting my data. Here is nothing wrong however.
Changed the class mode to categorical. This works, however i am not working on a multi-class classification.
Tried playing with the image data generator. Nothing worked.
Looked for classification imbalances. Also nothing wrong.
What could I try more? Should i just use categorical class mode on my generator?