Scene Classification in Images

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.

Hey you are on 5th position right on intel scene competition
I’m on 4th position username :- rishi34 accuracy :- 96.52936087

1 Like