RANCANG BANGUN WEBSITE PENDETEKSI WARNA PAKAIAN REAL-TIME BERBASIS YOLOv8 UNTUK PENYANDANG BUTA WARNA

Sabila Aisya Putri, . (2025) RANCANG BANGUN WEBSITE PENDETEKSI WARNA PAKAIAN REAL-TIME BERBASIS YOLOv8 UNTUK PENYANDANG BUTA WARNA. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

Individuals with color blindness often experience difficulty distinguishing various colors in clothing, which can affect self-confidence in appearance. This study aims to develop a clothing color detection system based on the YOLOv8 algorithm integrated into a website platform, to facilitate independent and real-time color detection through a camera. The dataset consists of six color categories, namely red, blue, green, maroon, navy, and army, which are labeled using Roboflow and expanded through augmentation techniques. The YOLOv8s model was trained for 100 epochs with an image size of 800 pixels using Google Colab. The model evaluation results in the training environment showed a Precision value of 0.996, Recall 1.00, and F1-Score 0.998. Meanwhile, in real-time testing of the system implemented into the website, the Precision was obtained at 0.983, Recall 0.983, F1-Score 0.979, and Accuracy 98.0%, indicating excellent performance in real-time operational conditions. The website consists of four main pages: Home, About, Color Palette, and Contact. This system allows users to detect clothing colors directly through the camera without the need to install additional applications. Evaluations have shown the system to be effective, accurate, and has the potential to become an inclusive assistive technology solution for people with color blindness.

Item Type: Thesis (Skripsi)
Additional Information: [No.Panggil: 2110314087] [Pembimbing: Silvia Anggraeni] [Penguji 1: Didit Widiyanto] [Penguji 2:. Achmad Zuchriadi]
Uncontrolled Keywords: YOLOv8, Clothing Color Detection, Color Blindness, Computer Vision, Website, Deep Learning, Real-time
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Fakultas Teknik > Program Studi Teknik Elektro (S1)
Depositing User: SABILA AISYA PUTRI
Date Deposited: 05 Aug 2025 06:04
Last Modified: 05 Aug 2025 06:04
URI: http://repository.upnvj.ac.id/id/eprint/39199

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