How can I improve my segmentation models?

How can I improve my segmentation models?

To improve your segmentation models, consider using more diverse training data, fine-tuning hyperparameters, and applying data augmentation.

What specific techniques for data augmentation do you recommend?

You can use techniques like rotation, flipping, scaling, and color jittering to enhance your dataset.

How important is the choice of loss function?

The choice of loss function is crucial as it directly impacts the model's learning process and performance. Experiment with different loss functions to find the best fit.

Can transfer learning help with segmentation tasks?

Yes, transfer learning can significantly boost performance, especially if you have limited data. Pre-trained models can provide a strong starting point.