A Python based skin detection system using OpenCV
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Updated
Jul 26, 2021 - Python
A Python based skin detection system using OpenCV
A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation
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,
AI-based localization and classification of skin disease with erythema
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
[ISBI 2024] FuseNet: Self-Supervised Dual-Path Network for Medical Image Segmentation
Skin Lesion Image Segmentation Using Delaunay Triangulation for Melanoma Detection (ASML)
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.
Neural Network-male-female-recognition-human-skin-detection
Dynamic Segmentation of Human Skin Using LUV Color Space
Color matching and detection, skin and finger detection with opencv
This repository details the various methods I have attempted for skin segmentation.
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.
This repo is host for the experiments with combined rules to detect skin color pixels in colored images.
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