Vol. 6 No. 5 (2024): Ranah Research : Journal Of Multidisciplinary Research and Development (Juli 2024 - Agustus 2024)

Prediksi Keindahan Wajah dengan Menggunakan Attribute Aware Convolutional Neural Network (AACNN)

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Ulil Surtia Zulpratita
Universitas Widyatama, Bandung, Indonesia

Published

Jul 28, 2024

DOI

https://doi.org/10.38035/rrj.v6i5.998

Abstract

The perception of beauty whether applied to a face or any similar subject, differs among people, with assorted values doled out to magnificence levels or positions. Facial beauty assessment has gained significant interest in various domains, including cosmetics, image processing, and artificial intelligence. This review digs into facial beauty prediction utilizing the Attribute Aware Convolutional Neural Network (AACNN) according to the SCUT-FBP5500 benchmark dataset. The study in this paper closes by accentuating the requirement for more comprehensive and adjusted datasets and proposes future exploration bearings to improve model decency and address moral ramifications.

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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How to Cite
Surtia Zulpratita, U. (2024) “Prediksi Keindahan Wajah dengan Menggunakan Attribute Aware Convolutional Neural Network (AACNN)”, Ranah Research : Journal of Multidisciplinary Research and Development, 6(5), pp. 1718-1725. doi: 10.38035/rrj.v6i5.998.

References

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