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

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

Skin lesion detection from dermoscopic images using Convolutional Neural Networks

Skin detection using Watershed and HSV/YCbCr colorspaces,

International Skin Imaging Collaboration: Melanoma Project

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

Official code for "DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images". A data generation pipeline for creating photorealistic in-the-wild synthetic dermatalogical data with rich multi-task annotations for various skin-analysis tasks.

[ISBI 2024] FuseNet: Self-Supervised Dual-Path Network for Medical Image Segmentation

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

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

AI-based localization and classification of skin disease with erythema

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

Color matching and detection, skin and finger detection with opencv

Java library for human skin detection in digital images.

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.

Live demo of skin detectors

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