Hello Fastai community
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()
andfbeta(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 !