Hello i have pictures of cellulite which looks like this:
My task is to create classification model. There is 4 classes and only 140 pictures for every one of them. Before i started trying different architectures i removed logo and scale. Then i augment my pictures by:
- horizontal flip
- random sized crop
For now i have tried:
- swin transformer
- ConvNeXt
- my own convolutional neural network
All of these architectures have accuracy below 80 percent mainly 60 percent. Maybe someone knows techniques or architectures that will allow me to increase accuracy.
u/ChazariosU — 17 days ago