ICDAR 2013 - Gender Identification Competition Dataset (GenderIdentifify2013)

Ground Truth

Genders of all writers

2015-01-25 (v. 1)

Contact author

Abdelaali Hassaine

Qatar University

hassaine@qu.edu.qa

0097444034294

Keywords

Gender recognition

Description

The genders of the writers of the training set are in train_answers.csv and those of the writers of the test set are in the test_answers.csv

Important Note: This competition has been hosted in kaggle. This website allows participants to see how well
each of their submissions performs on a part of the test set called the public test set (37% for this competition).
However, only the remaining part of the test set (called the private test set) counts towards the final standing. Therefore,
the ranking on the public test set is not necessarily similar to that of the private test set. This is mainly due to participants overfitting to the public test set. In the test_answers.csv there is a column called Usage, this column indicates for each row whether it is used in the public or private leaderboard. Consequently, in order to have results which are comparable with those of the competition, the public test set must be used as a validation set and the private test set as a final test set.

FileTypeSizeDownloadsDescription
train_answers.csvdata(2 KB)18Genders of writers of the training set
test_answers.csvdata(4 KB)17Genders of writers of the test set

Comments

Evya 08-09-2019 16:41
Hi,
Recently I have started to engage with this field and built a CNN model in order to predict gender through offline handwriting.
I would like to evaluate my performance on the QUWI subset, used in the competition. There is any source to get an output example with the male scores? I have my model's scores output buy after calculation the LogLoss score my results seems to be very good. I want an example of full output in order to compare the calculation process.
Thanks in advance,
Evya.

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