cff-version: 1.2.0
abstract: "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."
authors:
  - family-names: Soilis
    given-names: P. (Panagiotis)
    orcid: "https://orcid.org/0000-0002-9687-9069"
title: "Gender classification of PA-100K dataset, a Pedestrian Attribute dataset"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/uuid:38dab37c-1179-495e-b357-0568b9aaaa7a
license: CC0
date-released: 2020-07-13