Pedestrian attribute recognition

Pedestrian Attribute Recognition aims to develop a machine learning model to recognize person attributes including age, gender, clothing and accessories in a given person image. It is a challenging task due to high quality variance and inconsistent number of attributes in input image samples. Many m...

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Bibliografiska uppgifter
Huvudupphovsman: Liu, Yuan
Övriga upphovsmän: Lin Zhiping
Materialtyp: Final Year Project (FYP)
Språk:English
Publicerad: Nanyang Technological University 2020
Ämnen:
Länkar:https://hdl.handle.net/10356/139139