segmentation-model
There are 14 repositories under segmentation-model topic.
Curt-Park/segment-anything-with-clip
Segment Anything combined with CLIP
JanMarcelKezmann/TensorFlow-Advanced-Segmentation-Models
A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.
AlexTS1980/COVID-CT-Mask-Net
Segmentation and Classification models for COVID CT scans (COVID, pneumonia, normal) based on Mask R-CNN.
tamasino52/Railroad_and_Obstacle_detection
This program detect and identify obstacle on railway. If program detect some obstacle that train must stop, program gives you warning sign. This program Also estimate riskiness of obstacle how it is negligible or not. We provide many models to you to detect railways and obstacles.
XiangqianMa/Kaggle-Steel-Defect-Detection
Code of kaggle semantic segmentation competition: Steel Defect Detection.
Miltos-90/UNet_Biomedical_Image_Segmentation
Implementation of the paper "UNet: Convolutional Networks for Biomedical Image Segmentation"
harshwalia36/Segmentation_and_classification_of_Covid-19-lungs-CT-Scan
Deep Learning Project which help us to identify a Person is Covid or non-Covid and Segment the Infection in the Lungs.
arawxx/MobileNetV3
MobileNetV3 implementation from scratch using PyTorch.
lopeselio/Brain-Tumor-Image-Segmentation-For-Magnetic-Resonance-Imaging
Magnetic resonance imaging (MRI) is an advanced imaging technique that is used to observe a variety of diseases and parts of the body..neural networks can analyze these images individually (as a radiologist would) or combine them into a single 3D volume to make predictions. At a high level, MRI works by measuring the radio waves emitting by atoms subjected to a magnetic field.
aurelienmorgan/defect_detection_webservice
Surface Defect Detection as a Tensorflow/Keras model microservice container.
UnsignedArduino/Chessbot
A Raspberry Pi that uses a camera to look at the board and tells you it's move on a monitor.
JustSurWHYving/image-segmentation
A Custom NN architecture to generate a segmentation map of a given set of Images.
DineshThapaX/Road-Segmentation-for-Autonomous-Car-using-MESNet
A deep learning-based road segmentation model for autonomous vehicles, MESNet integrates ResNet-50, VGG-16, and PSPNet to achieve high accuracy and precision in diverse environments. Trained on the KITTI dataset, it handles real-time road segmentation tasks with robust performance metrics.