Hi. I tried experimenting a bit with my own dataset for multilabel image classification. When I upload my .Zip dataset from my PC to Kaggle I notice that the images flip. This is evident before the databunch creation step when i try to display the images from my uploaded input dataset. My input images have faces which i do not want to flip. Is there some option to prevent flip when creating the .Zip and upload to Kaggle?
Also, could this be the reason why i get a very low accuracy (60%) on my mulilabel classification model? I have used the same code framework as in Lesson3 of the course. Should i instead be pre-processing my input images to crop only the faces?
Any help would be much appreciated.