Primary competition visual

Microsoft Rice Disease Classification Challenge

Helping Egypt
$3 000 USD
Challenge completed ~3 years ago
Classification
Computer Vision
916 joined
260 active
Starti
May 13, 22
Closei
Aug 14, 22
Reveali
Aug 14, 22
rgn images should be removed?
Data Ā· 24 Jul 2022, 13:37 Ā· 3

Do we have to remove rgn images before training? I can see rgn images are not included in testing csv and submittion csv files. Why to include rgn images and why not?

Discussion 3 answers
User avatar
Redeemer's university

I belive the rgn images were given to provide extra information. It's your choice to remove them before training or not(mindful of possible leakage). You can find a way to blend the rgn images into your solution.

24 Jul 2022, 14:04
Upvotes 1
User avatar
Koleshjr
Multimedia university of kenya

Tbh removing the rgn images makes the lb score worse while the local validation is good. I don't know why we are having a bad lb score while removing the rgn and we dont have rgn images in the sample submission. Any explanations?

As @TheVeloper said, you can blend them somehow. I thought about this early on when I joined in the competition and came up with this method: https://github.com/poppingtonic/semisupervised-rice-africa

I released one of the encoders I pretrained during my runs with this particular architecture (xresnet34), linked to in the repo, in case you want to try it out in your own setup.

24 Jul 2022, 15:23
Upvotes 1