Jurnal Media Infotama
Vol 20 No 1 (2024): April 2024

Aplikasi Analisis Wajah, Klasifikasi Gender dan Prediksi Usia Menggunakan Deep Learning pada Dataset Citra Wajah Manusia

Marcelio, Ch Angga (Unknown)
Azzikra, Muhammad Adlan (Unknown)
Mufazzal, Dimas Putra (Unknown)
Illahi, Aripili Rahman (Unknown)
Husain, Sulaiman Al (Unknown)
Abdiansah, Abdiansah (Unknown)



Article Info

Publish Date
30 Apr 2024

Abstract

Age and Gender Detection is a technology that utilizes artificial intelligence (AI) algorithms to identify and analyze the age and gender of a person through image capture as output. This technology provides automatic estimation of age and gender starting from detecting one or more objects (humans) and performing age and gender detection. The program uses pre-trained models and prototypes for face detection, age, and gender, resulting from training processes using deep learning techniques. By using these models and prototypes, the program can efficiently analyze each face found in images or videos and provide age and gender estimates with reliable accuracy. The main purpose of the Age and Gender Detection Application is to provide accurate and useful information about the age and gender of individuals based on the input images, becoming an efficient solution in image processing and artificial intelligence fields for various application contexts requiring facial data analysis.

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Journal Info

Abbrev

jmi

Publisher

Subject

Computer Science & IT

Description

Jurnal Media Infotama Fakultas Ilmu Komputer Universitas Dehasen Bengkulu memiliki ISSN: 1858-2680 dan e-ISSN : 2723-4673 merupakan jurnal ilmiah yang menerbitkan artikel ilmiah yang berhubungan dengan ilmu komputer dan ilmu yang berhubungan dengan komputer. Adapun topik artikel meliputi : Sistem ...