▲ 1 r/deeplearning
I am assigned to do a project that is simply training a model (from scratch or a pre-trained) on a 30k images -96x96 res- (Colored + Greyscale) dataset
all images are cropped to the face only I have 6 different classes labels [happy , sad , angry , surprised , disgust , fear]
so I've tried a couple of models and the best validation accuracy I've reached is 84% without overfitting (a finetuned efficentnetV2B2) after augmentation and preprocessing ofc.
how can I increase this accuracy or is there any other model that performs better in such a task?
(I've uploaded a screenshot sample of the training data)
u/Flornn244 — 17 days ago