%0 Generic
%A Soilis, P. (Panagiotis)
%D 2020
%T Gender classification of PA-100K dataset, a Pedestrian Attribute dataset
%U https://data.4tu.nl/articles/dataset/Gender_classification_of_PA-100K_dataset_a_Pedestrian_Attribute_dataset/12763712/1
%R 10.4121/uuid:38dab37c-1179-495e-b357-0568b9aaaa7a
%K Data mining
%K Gender classification
%K Machine learning
%K Pedestrian images
%K master thesis
%X This dataset is based on the work of  Liu et al and their paper "Hydraplus-net: Attentive deep features for pedestrian analysis". In our work, we structure the images for a gender classification task based on the gender attribute annotated. Moreover, we pre-process the images to a 75x75 dimension that can be used by pre-trained deep learning models.
%I 4TU.ResearchData