Primary competition visual

Microsoft Rice Disease Classification Challenge

Helping Egypt
$3 000 USD
Completed (~4 years ago)
Classification
Computer Vision
936 joined
260 active
Starti
13 May 22
Closei
14 Aug 22
Reveali
14 Aug 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
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(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.

Upvotes 2
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Thank you very much for you input.

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