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This project implements a Wrinkle Detection application using YOLOv8 for segmentations. The application is built with Streamlit and allows users to upload images for wrinkle detection of human faces. Segmentation using YOLOv8s (small) finetuned model.

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shrimantasatpati/Wrinkle-Detection-StreamLit

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Wrinkle Detection Streamlit with YOLOv8

This project implements a Wrinkle Detection application using YOLOv8 for segmentations. The application is built with Streamlit and allows users to upload images for wrinkle detection of human faces. There are 3 classes (forehead, frown and wrinkle) that the YOLOv8s (small) segmentation model was finetuned.

Dataset: RoboFlow dataset

Getting Started

Prerequisites

  • Python 3.11+
  • pip
  • opencv-contrib-python-headless
  • ultralytics
  • streamlit
  • opencv-python

Installation

Clone the repository:

git clone https://github.com/shrimantasatpati/Wrinkle-Detection-StreamLit.git
cd {your_username}/Wrinkle-Detection-StreamLit

Finetuned model weight: best.pt.

Video.mp4

About

This project implements a Wrinkle Detection application using YOLOv8 for segmentations. The application is built with Streamlit and allows users to upload images for wrinkle detection of human faces. Segmentation using YOLOv8s (small) finetuned model.

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