Primary competition visual

Microsoft Rice Disease Classification Challenge

Helping Egypt
$3 000 USD
Completed (over 3 years ago)
Classification
Computer Vision
924 joined
260 active
Starti
May 13, 22
Closei
Aug 14, 22
Reveali
Aug 14, 22
Evaluation Metric
Data Ā· 22 May 2022, 15:05 Ā· edited less than a minute later Ā· 2

The evaluation metric for this challenge is the Log Loss. Can you confirm the metric is : cross-entropy (loss) for the case of multi-class classification?

I also saw evaluation section of the challenge, that probabilities do not add to one: (.034 + .215 + .567) != 1

Image_ID            blast    brown    healthy
id_3zpci62t81.jpg   .034     .215      .567

@Zindi Can you confirm if we are dealing with multiclass or multilabel classification?

Thanks.

Discussion 2 answers

(Not Zindi, but:) The numbers in their examples are usually just to show the format. There is only ever ONE label per image (so multiclass) and you're right about the metric.

23 May 2022, 06:33
Upvotes 2

Thank you very much for you input.