Multiclass metric for Image Segmentation

Hello Fastai community :smiley:

I’m currently exploring how to apply Dice metric to a multiclass segmentation problem. I checked the concepts and discovered that Dice is really similar to the F1Score. Following this, I have two questions regarding their implementation in fastai.metrics :

  • How different are the dice() and fbeta(beta=1) outputs ?
  • Is the MultiLabelFbeta class okay for multilabel image segmentation use cases ?
  • If not, is there a metric already existing that could help me ?

Thank you very much and have a good day !