ICLR Workshop Challenge #1: CGIAR Computer Vision for Crop Disease
$7,000 USD
Identify wheat rust in images from Ethiopia and Tanzania, and win a trip to present your work at ICLR 2020 in Addis Ababa.
29 January–15 March 2020 23:59
566 data scientists enrolled, 195 on the leaderboard
Train/Test data issues
published 12 Feb 2020, 16:35

Dear organizers,

I have found a serious issues with your training/test data that could be used to exploit the submission. I don't want to make it public but I can send it directly to you via email. Would you mind to share your emails with me?

Best,

Lukas

is it about Data leaks ?

there are severe information leakage in test set

igwee1993@gmail.com

Dear picekl,

Please can you email us at zindi@zindi.africa.

Any news regarding data leaks? Will orgs acknoweldge it?

"Thank you for your email. We are looking into this.

Best regards,

The Zindi team"

Dear Zindians,

We acknowledge that this is not an ideal situation, so please accept our apologies to the whole Zindi community. Zindi is still a young platform, and we are learning and trying to be better with every challenge we release.

We have updated the reference file to exclude the data leak. Over the next 48 hours your scores might change as we rescore your submissions based on the new reference files.

You can still use the Sample Submission as a template to submit as the scoring system will only score the IDs in the updated reference file.

Please note that you cannot use file metadata such as EXIF data. This is a computer vision, machine learning challenge. If you are in the top 3 of this challenge you will be required to submit your code for validation.

Thank you for keeping us accountable, and for helping to make Zindi better. We couldn’t do it without you.

The Zindi team