I am trying to classify scenes in images I have about 17000 training images belonging to six classes, the classes are
'buildings' -> 0,
'forest' -> 1,
'glacier' -> 2,
'mountain' -> 3,
'sea' -> 4,
'street' -> 5
I have finetuned Resnet50 on the dataset, initially I got accuracy of 93% without any data augmentation and after I tried data augmentation the accuracy decreased to 92% instead of increasing.
I used the following augmentation script
datagen = ImageDataGenerator(
How can I increase the accuracy of this model? Here’s my accuracy and loss graph, the accuracy never goes beyond 0.93 despite augmentation of data.