Microsoft Rice Disease Classification Challenge
Can you identify disease in images of rice grown in Egypt?
Prize
$3 000 USD
Time
Ended ~19 hours ago
Participants
262 active · 811 enrolled
Helping
Egypt
Intermediate
Computer Vision
Classification
Agriculture
rgn images should be removed?
Data · 24 Jul 2022, 13:37 · 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

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.

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.