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Web-demo-Skin-Analysis

1. Technology

Front-end: Html, CSS, JS

Back-end: Flask, Python

Segmentation: UNET++, Yolov8-seg

Classification: ResNet152, MobileNetV2

2. Demo

web.mp4

About

Web-demo-Skin-Analysis is a facial skin analysis project focusing on three key concerns: pigmentation, wrinkles, and pores. It utilizes U-Net++ and YOLOv8 for segmentation, MobileNetV2 and ResNet152 for classification, and YOLOv5Face for face detection. The web application is built with Flask.

Topics

face-detection unet mobilenetv2 resnet-152 yolov5-face yolov8-segmentation skin-analysis

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