skin-segmentation
There are 32 repositories under skin-segmentation topic.
WillBrennan/SemanticSegmentation
A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation
WillBrennan/SkinDetector
A Python based skin detection system using OpenCV
ashishpatel26/Skin-Lesions-Detection-Deep-learning
Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification on HAM10000 dataset largescale data.
adriaromero/Skin_Lesion_Detection_Deep_Learning
Skin lesion detection from dermoscopic images using Convolutional Neural Networks
Jeanvit/PySkinDetection
Skin detection using Watershed and HSV/YCbCr colorspaces,
ImageMarkup/isic-archive
International Skin Imaging Collaboration: Melanoma Project
wiseaidev/Face-Recogntion-Detection
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.
sfu-mial/DermSynth3D
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.
WillBrennan/ObjectDetection
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
Koldim2001/Unet-pytorch-training
Репозиторий для обучения нейросетевых моделей по семантической сегментации + пример использования моделей на практике
xmindflow/FuseNet
[ISBI 2024] FuseNet: Self-Supervised Dual-Path Network for Medical Image Segmentation
neelgajjar/Neural-Network-Gender-Classification-Skin-Segmentation
Neural Network-male-female-recognition-human-skin-detection
sonhamin/dermtools
AI-based localization and classification of skin disease with erythema
samhaswon/skin_segmentation
This repository details the various methods I have attempted for skin segmentation.
SamSamhuns/color_matching_and_skin_detection
Color matching and detection, skin and finger detection with opencv
rstreet85/bolton
Java library for human skin detection in digital images.
123mpozzi/skin-detect-live
Live demo of skin detectors
margaritageleta/human-skin-detector
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.
dpmagill/iphys-toolbox
FacePulseRate: A suite of features to facilitate the use of pulse-rate algorithms included in iPhys Toolbox.
apennisi/asml
Skin Lesion Image Segmentation Using Delaunay Triangulation for Melanoma Detection (ASML)
123mpozzi/nbrancati-py
Adaptive rule based skin detector
123mpozzi/skin-detection-io
Thesis Overview
AshuMaths1729/Image_Segmenter
Skin Lesion Segmentation using both deep learning and machine learning approaches
dhavalpopat/mask.it
This is a computer vision project to apply various masks on facial images using landmark detection and mask morphing.
rodrigoadfaria/master-dissertation
My master's degree dissertation. The complete text of a long long journey :)
rodrigoadfaria/skin-detector-ws
A python web application I started to list the skin images I as working with for my research.
marcoc2/skin-segmentation
Dynamic Segmentation of Human Skin Using LUV Color Space
PrachiP23/Face-Detection-and-Recognition
Face Detection and Recognition
rodrigoadfaria/skin-detector
This repo is host for the experiments with combined rules to detect skin color pixels in colored images.
AlinaBaber/Skin-Disease-Detection-MachineLearning-ImageProcessing-MatLab
This project focuses on the recognition and analysis of various skin diseases, including cancer and Vitiligo, using advanced image processing techniques and machine learning models in Matlab.
kaledhoshme123/Determine-the-location-of-the-skin-lesion-spread
Dermatologists suffer from the difficulty of locating cancerous and malignant skin lesions, which causes many problems during the process of removing the tumor, which leads to the return of the tumor again. In determining the location of the tumor and its spread and determining the area that must be removed accurately.