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.

deep-learning tensorflow railway faster-rcnn unet railroad obstacle-detection segmentation-model

UpdatedJan 21, 2022
Jupyter Notebook

XiangqianMa /Kaggle-Steel-Defect-Detection

Star24

Code of kaggle semantic segmentation competition: Steel Defect Detection.

pytorch kaggle semantic-segmentation segmentation-model unet-pytorch steel-defect-detection

UpdatedMar 7, 2022
Python

Miltos-90 /UNet_Biomedical_Image_Segmentation

Star23

Implementation of the paper "UNet: Convolutional Networks for Biomedical Image Segmentation"

segmentation-model

UpdatedApr 24, 2025
Jupyter Notebook

harshwalia36 /Segmentation_and_classification_of_Covid-19-lungs-CT-Scan

Star8

Deep Learning Project which help us to identify a Person is Covid or non-Covid and Segment the Infection in the Lungs.

machine-learning deep-learning keras image-processing cnn image-classifier lung-segmentation ct-scans segmentation-model unet-image-segmentation covid infection-segmentation

UpdatedMar 24, 2021
Jupyter Notebook

arawxx /MobileNetV3

Star5

MobileNetV3 implementation from scratch using PyTorch.

deep-neural-networks deep-learning pytorch convolutional-neural-networks mobilenet classification-model mobilenetv2 segmentation-model pytorch-implementation mobilenetv3

UpdatedSep 6, 2024
Python

lopeselio /Brain-Tumor-Image-Segmentation-For-Magnetic-Resonance-Imaging

Star5

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 atom…

python deep-learning jupyter-notebook mri-images mri-reconstruction segmentation-model unet-image-segmentation collabs

UpdatedJul 21, 2020
Jupyter Notebook

BioImageInformatics /tfmodels

Star3

tensorflow architecture dataset semantic-segmentation variational-autoencoders multi-instance segmentation-model

UpdatedMay 2, 2019
Python

aurelienmorgan /defect_detection_webservice

Star3

Surface Defect Detection as a Tensorflow/Keras model microservice container.

python docker nginx opencv flask webservice computer-vision containers tensorflow rest-api keras jupyter-notebook gunicorn cnn uwsgi data-augmentation u-net segmentation-model

UpdatedJul 23, 2021
Python

DineshThapaX /Road-Segmentation-for-Autonomous-Car-using-MESNet

Star0

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.

autonomous-car segmentation autonomous-driving autonomous-vehicles segmentation-model segmentation-models roadsegmentation mesnet