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

Skin Lesion Image Segmentation Using Delaunay Triangulation for Melanoma Detection (ASML)

Dynamic Segmentation of Human Skin Using LUV Color Space

Java library for human skin detection in digital images.

This is a computer vision project to apply various masks on facial images using landmark detection and mask morphing.

Face Detection and Recognition

Skin lesion detection from dermoscopic images using Convolutional Neural Networks

Skin Lesion Segmentation using both deep learning and machine learning approaches

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 segmentation is basic and key in the hand gesture recognition. Since skin color is within a threshold range, thresholding a color space, we can swiftly segment the desired region.

FacePulseRate: A suite of features to facilitate the use of pulse-rate algorithms included in iPhys Toolbox.

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

My master's degree dissertation. The complete text of a long long journey :)

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

AI-based localization and classification of skin disease with erythema

A Python based skin detection system using OpenCV

International Skin Imaging Collaboration: Melanoma Project

Adaptive rule based skin detector

Thesis Overview