Curt-Park/segment-anything-with-clip

Segment Anything combined with CLIP

Language: Python - Size: 16.8 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 339 - Forks: 26

JanMarcelKezmann/TensorFlow-Advanced-Segmentation-Models

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

Language: Python - Size: 5 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 140 - Forks: 43

AlexTS1980/COVID-CT-Mask-Net

Segmentation and Classification models for COVID CT scans (COVID, pneumonia, normal) based on Mask R-CNN.

Language: Python - Size: 4.84 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 28 - Forks: 14

XiangqianMa/Kaggle-Steel-Defect-Detection

Code of kaggle semantic segmentation competition: Steel Defect Detection.

Language: Python - Size: 2.2 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 23 - Forks: 2

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.

Language: Jupyter Notebook - Size: 1.01 GB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 20 - Forks: 4

Miltos-90/UNet_Biomedical_Image_Segmentation

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

Language: Jupyter Notebook - Size: 4.23 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 13 - Forks: 5

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.

Language: Jupyter Notebook - Size: 30.9 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 2

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.

Language: Jupyter Notebook - Size: 6.16 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 6 - Forks: 0

arawxx/MobileNetV3

MobileNetV3 implementation from scratch using PyTorch.

Language: Python - Size: 147 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

aurelienmorgan/defect_detection_webservice

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

Language: Python - Size: 93.4 MB - Last synced at: 5 months ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 0

BioImageInformatics/tfmodels

Language: Python - Size: 11.1 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 3

UnsignedArduino/Chessbot

A Raspberry Pi that uses a camera to look at the board and tells you it's move on a monitor.

Language: Jupyter Notebook - Size: 122 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 7.8 MB - Last synced at: about 1 month ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0