Jaccard loss

[innat]

Another useful loss function for semantic segmentation tasks. It was available in keras-contrib, losses/jaccard.py

[qlzh727]

If I understand the jaccard correctly, it is like IoU metric in keras-team/keras. In that sense, we might just add it to keras repo, since usually metric and loss just share the same backend function.

[bhack]

@qlzh727 It was old time https://github.com/keras-team/keras-contrib/blob/master/keras_contrib/losses/jaccard.py

[bhack]

I meant is it ready now for Keras? As if It was in contrib it was not accepted in Keras at that time.

[qlzh727]

The IoU metric is in keras-team/keras at https://github.com/keras-team/keras/blob/9e8bd934b088b4724221520828146a358609caa6/keras/metrics/metrics.py#L2568. If the jaccard loss is same/similar as IoU metric, then I think it might be fit for keras-team/keras. @fchollet

[bhack]

Ok in that case I suppose that we can move the issue between repos under the same org, or not?

[qlzh727]

I think the issue can be moved between repos in the same org

[innat]

@qlzh727 It would be great to have this loss function from core keras. But as it's mostly cv-related loss function, isn't it fitter to have it from keras_cv; if cv-related stuff moves to keras_cv from keras in the future? Also, if we have Dice loss from keras_cv and Jaccard loss from keras, it might be a confusing UX, IM0.

[qlzh727]

I will check with API owner for this question, and see where we want to place this loss. Will update later this week.

[bhack]

Just for the record: keras-team/keras-contrib#533