ChaLearn Looking at People 2016 - Track 3: Smile and Gender Classification Forum

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Dear organizers,

I have noticed that in the annotation there is sometimes value '2' in the gender field. What does this mean? I have also noticed that image 'im_GenFex_00003.jpg' have definitely bad label for gender (female annotated as male) and some examples marked as smiling do not really look like smiling at all.

Posted by: uricamic @ March 16, 2016, 4:18 p.m.

I met the same problem. There are 33 faces in valset and 99 faces in trset which have the label '2' for gender.

Posted by: wuyuebupt @ March 21, 2016, 10:20 p.m.

Why the label '2' I found different with you, I found the label 2 have 93 in training set, and 30 in validation set.

Posted by: wangpeng @ March 22, 2016, 8:05 a.m.

34 in val and 93 in train

Posted by: wuyuebupt @ March 22, 2016, 1:10 p.m.

Hello all,

In some instances, the annotators might have a hard time distinguishing the gender of the subjects. In those cases, the subjects are annotated as 2. That means that the gender is not identifiable.

Thank you.

Kind Regards,


Posted by: MTT @ March 27, 2016, 6:33 p.m.

So do we another class for unidentified "2" images? Would the evaluation be done only for male/female or male/female/unidentified?


Posted by: dpali @ March 28, 2016, 9:19 p.m.


The evaluation will only be done with female/male annotations.

Thank you and good luck!

Kind Regards,


Posted by: MTT @ March 28, 2016, 9:24 p.m.
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