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.
Репозиторий для обучения нейросетевых моделей по семантической сегментации + пример использования моделей на практике
This repository details the various methods I have attempted for skin 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.
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
Neural Network-male-female-recognition-human-skin-detection
AI-based localization and classification of skin disease with erythema
Train a U-net model for pixel-wise segmentation of facial wrinkles. Based on FFHQ dataset.
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
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