Open John1231983 opened 6 years ago
There is a solution for Unet and Mask RCNN both. It depends on which one you ran. If you are able to increase the score by encoding each mask individually please do share the results.
Let check it in https://www.kaggle.com/c/data-science-bowl-2018/discussion/49692
So, what is your LB score use mask rcnn?
I think it was above 0.4
Him have you try to encode RLE for each mask individually? Does it help to improve your score? I am verg happy if it helped you
Can you recommend a method for doing that?
Sorry for reply late. You can refer the function https://github.com/YanWang2014/Mask_RCNN/blob/master/Spot-Nuclei2/functions.py#L48
Hi, I checked your score team is too low althought you used mask rcnn. Does it score use mask rcnn or unet? If it use maskrcnn so I think you have a wrong in encode submission that need to encode ewch mask individually instead of combined together and encode