Okey. The U-Net CNN model i’m using with pre-trained weights is  trained on colored Arabidopsis Thaliana plants.In my project i’m training the model with grey scale images instead, but the model seems to over-fit on my data. That’s why I intend to lower the amount of parameters. What would be your tips in doing so ?
I’m trying out some dropout at the moment.
Would freezing some layers during the training be beneficial ?
Thanks for the help.