Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

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 detection using HSV & YCbCr color space (python using opencv)

An easy-to-use library for skin tone classification

Machine Learning for Skin Disease Classification

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification on HAM10000 dataset largescale data.

A modified SegNet Convolutional Neural Net for segmenting human skin from images

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.

Skin detection in C++ using OpenCV

Simple pixelwise skin detection using classification tree.

SkinHealthChecker App detects possible melanoma skin cancer using OpenCV and Android camera.

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

Neural Network-male-female-recognition-human-skin-detection

This repository stores the code for detecting skin color in images.

ASL alphabet and digits recognition from human gestures and gesture controlled calculator Using CNN-Keras-tensorflow.

This repository contains skin cancer lesion detection models. These are trained on a sequential and a custom ResNet model

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