How can I improve segmentation accuracy in my model?

How can I improve segmentation accuracy in my model?

To improve segmentation accuracy, consider using more diverse training data, fine-tuning your model, and applying data augmentation techniques.

What specific data augmentation techniques do you recommend?

You can try techniques like rotation, flipping, scaling, and adding noise to your images to enhance the training dataset.

How important is the choice of loss function for segmentation tasks?

The choice of loss function is crucial; using a loss function like Dice loss or Focal loss can significantly improve performance.

Are there any pre-trained models that I can use as a starting point?

Yes, models like U-Net, Mask R-CNN, and DeepLab are popular choices for segmentation tasks and can be fine-tuned for your needs.