How to decrease training loss and increase the accuracy in model?

I’m making a custom deep learning model. I’ve got a low accuracy value. My project is detecting scratches in optical fiber centrals. These images below explain the problem:

I’ve made a custom dataset contain 200 images with good and bad images.
I’ve tried a lot of models found in the net and it didn’t work well.
I need to know the number of filters and value needed to this type of project.

Hi @Chahine_Mami due to less number of images in your dataset your model is getting low accuracy. you can improve your dataset size by performing data augmentation techniques on your dataset. Thanks!

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