A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

A Python based skin detection system using OpenCV

Skin lesion detection from dermoscopic images using Convolutional Neural Networks

Skin detection using Watershed and HSV/YCbCr colorspaces,

Face Recognition/Detection (image/video) using skin tone threshold algorithm, haar cascade for face detection and LBPH for face recognition. It also implements the concept of multithreaded server with multiple clients.

A framework for training mask-rcnn in pytorch on labelme annotations with pretrained examples of skin, cat, pizza topping, and cutlery object detection and instance segmentation

This repository details the various methods I have attempted for skin segmentation.

Color matching and detection, skin and finger detection with opencv

Train a U-net model for pixel-wise segmentation of facial wrinkles. Based on FFHQ dataset.

A python web application I started to list the skin images I as working with for my research.

Skin Lesion Segmentation using both deep learning and machine learning approaches

Adaptive rule based skin detector