Skripsi

PERANCANGAN DAN IMPLEMENTASI MODEL DETEKSI WAJAH SEDERHANA DENGAN METODE MOBILENET V3 DAN MTCNN

---

Penilaian

---

The research in this final task report, which is how to design a face date application using CNN's Multi-Task method and compare it with the MobileNet-V3 method. Testing was conducted between CNN Multi-Task and MobileNet V3 by bilingating faces at every angle using the camera and compared to wearing masks and not wearing masks. . Face detection experiments conducted, CNN Multi-Task method can perform good face detection by doing a number of conditions. When not using accessories can detect all faces well, and at the time of using accessories can only detect 10 out of 20 while on face detection using mobilenet V3 method when not using the mask can also detect the entire face correctly while at the time of using the mask can detect 18 out of 20 faces.

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
2107002669	T51734	T517342021	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

T517342021

Publisher

Inderalaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Uniersitas Sriwijaya., 2021

Collation

xv, 68 hlm,: ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

-

Classification

006.607

Content Type

Text

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

Prodi Sistem Komputer
Komputer Grafis, Grafika Komputer, digital image

Specific Detail Info

-

Statement of Responsibility

MURZ

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment