Why does my classification model fail against unseen real-world testing data, however, the model record validation accuracy of 98% @ Wall time of 31min 22s on the validation set?
P.S. I have used ResNet9, ResNet32 and ResNet152 all fail dramatically against real data (accuracy less than 50%).
Basically, I using cars cartoon images to predict a true car. Since ML is a huge correlation tool I think it is an achievable task? Any thoughts?