In the world of chaos, the pandemic has driven individuals around the globe to wear face
masks for preventing the virus's transmission, however, this has made it difficult to determine …

This research paper proposes a novel approach for age and gender detection using a deep
convolutional neural network (DCNN). The increasing prevalence of age and gender …

Age, gender and ethnicity prediction is very important nowadays as it has many real-life
applications in various types of fields but it is also a very challenging task because of …

For immediate gender classification based on face eye images, a convolutional neural
network (CNN) is presented. The suggested architecture has much less design complexity …

In machine learning, the classification task is about building a model to predict a class of
elements based on their attributes and set of examples. This work aims to classify people …

본 논문에서는 딥러닝 CNN 알고리즘을 이용하여 사람의 얼굴 이미지를 학습한 다음 나이와
성별을 예측하는 시스템을 제안한다. 이 시스템은 개개인 마다 각기 다른 외형적 특성을 …

Age and gender detection is an upcoming technology, which is gaining importance. Age and
gender detection is a subjective task. Even humans have trouble recognizing it sometimes …

Gender classification can provide significant advantages in applications with access control,
marketing activities and biometric verification processes. In cases where the entries to some …

This study evaluates the performance of customized face recognition models (CMNetV2,
CRNet50, CDNet121, and CFNet) on the FairFace and UTKFace datasets. Our adaptations …