Soilis, P. (Panagiotis) (2020): Gender classification of PA-100K dataset, a Pedestrian Attribute dataset. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:38dab37c-1179-495e-b357-0568b9aaaa7a

Dataset

• Artificial Intelligence and Image Processing

Data mining, Gender classification, Machine learning, master thesis, Pedestrian images

CC0

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by P. (Panagiotis) Soilis

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.

• 2020-07-13 first online, published, posted

4TU.ResearchData

media types: application/zip, image/jpeg

• https://doi.org/10.1109/ICCV.2017.46

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Software Technology