I am currently training the EfficientAD model on my own dataset, which consists of walnut wood surfaces. These wood types typically have vertical grain patterns. I’ve noticed that the model struggles to detect vertically oriented defects, while it can easily detect very small and thin horizontal defects.
What could be the reason for this difference, and how can I improve the model’s performance on vertical defects?
I would really appreciate your help.
I am currently training the EfficientAD model on my own dataset, which consists of walnut wood surfaces. These wood types typically have vertical grain patterns. I’ve noticed that the model struggles to detect vertically oriented defects, while it can easily detect very small and thin horizontal defects.
What could be the reason for this difference, and how can I improve the model’s performance on vertical defects?
I would really appreciate your help.