Implement some hair segmentation network and a color similarity calculating method.

Репозиторий для обучения нейросетевых моделей по семантической сегментации + пример использования моделей на практике

Hair Mask RCNN using matterport model

Neural Network for Dying Hair💈- Android Application

AR app to test different hair color in real time on video and images. Using MediaPipe Image segmentation task

Hair segmentation using CoreML

Web application for hair dying.

face & hair semantic image segmentation in keras

Lightweight hair segmentation

fork which provides IPython Notebook to use face-makeup with Google Colab

BiSeNet for semantic segmentation task

Python implementation of A Robust Hair Segmentation and Removal Approach for Clinical Images of Skin Lesions by collective of authors from Japan. Often cited simple as Adam Huang*

DeepLabv3 + backbone ResNet101 for semantic segmentation

Hair Detection ---------------> U- Net architecture and Figaro Dataset ( Image Segmentation), Lip Detection ---------> Facial Landmark point (64 landmark point)

Reupload and updated code for Efficient and Effective Automated Digital Hair Removal from Dermoscopy Images by collective of authors from 2016. Code has been updated so it runs on windows and CUDA 13.x An example usage of how to use it with python added.

A web tool that suggests the best hair color based on skin tone, hair type, hair style, and profession. Built with HTML, CSS, and JavaScript, it’s fast, user-friendly, and responsive.