Topic: segmentation-model Goto Github
Some thing interesting about segmentation-model
Some thing interesting about segmentation-model
segmentation-model,Segmentation and Classification models for COVID CT scans (COVID, pneumonia, normal) based on Mask R-CNN.
User: alexts1980
Home Page: https://github.com/AlexTS1980/COVID-CT-Mask-Net
segmentation-model,MobileNetV3 implementation from scratch using PyTorch.
User: arawxx
segmentation-model,Surface Defect Detection as a Tensorflow/Keras model microservice container.
User: aurelienmorgan
segmentation-model,Segment Anything combined with CLIP
User: curt-park
Home Page: https://huggingface.co/spaces/curt-park/segment-anything-with-clip
segmentation-model,Deep Learning Project which help us to identify a Person is Covid or non-Covid and Segment the Infection in the Lungs.
User: harshwalia36
segmentation-model,A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.
User: janmarcelkezmann
segmentation-model,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.
User: lopeselio
segmentation-model,Implementation of the paper "UNet: Convolutional Networks for Biomedical Image Segmentation"
User: miltos-90
segmentation-model,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.
User: tamasino52
segmentation-model,Code of kaggle semantic segmentation competition: Steel Defect Detection.
User: xiangqianma
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