Automatic ethnicity classification from middle part of the face using convolutional neural networks
In the field of face biometrics, finding the identity of a person in an image is most researched,
but there are other, soft biometric information that are equally as important, such as age …
but there are other, soft biometric information that are equally as important, such as age …
Transfer Learning with EfficientNetV2S for Automatic Face Shape Classification.
The classification of human face shapes, a pivotal aspect of one's appearance, plays a
crucial role in diverse fields like beauty, cosmetics, healthcare, and security. In this paper …
crucial role in diverse fields like beauty, cosmetics, healthcare, and security. In this paper …
Analysing the Impact of Gender Classification on Age Estimation
Age estimation from facial images is one of the most popular fields of research concerning
deep learning and convolutional neural networks. However, there are several factors …
deep learning and convolutional neural networks. However, there are several factors …
Demographic Attributes Classification via Convolutional Neural Networks: A Proposed Solution
Identifying age, gender, and ethnicity of a person is still a difficult undertaking, given the
absence of a specific definition of ethnicity, the wide variety of age distributions and the …
absence of a specific definition of ethnicity, the wide variety of age distributions and the …