1468 Open source projects that are alternatives of or similar to Segmentation

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

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

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

WMH segmentaion with unet, dilated_unet, and with ideas from denseNet

TFslim based semantic segmentation models, modular&extensible boutique design

FCN, U-Net models implementation in TensorFlow for fashion clothing parsing

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

Open solution to the Airbus Ship Detection Challenge

Segmentation models with pretrained backbones. PyTorch.

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

BCDU-Net : Medical Image Segmentation

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

Open solution to the Data Science Bowl 2018

Sandbox for training deep learning networks

Collection of computer vision models, ready to be included in a JVM project

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

Kaggle | 14th place solution for TGS Salt Identification Challenge

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

《深度学习与计算机视觉》配套代码

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

常用的语义分割架构结构综述以及代码复现

https://www.kaggle.com/c/humpback-whale-identification

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

Top 15% ranked solution to the Carvana Image Masking Challenge on Kaggle

PyTorch extensions for fast R&D prototyping and Kaggle farming

Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

3D U-Net model for volumetric semantic segmentation written in pytorch

A Kitti Road Segmentation model implemented in tensorflow.

Solution to Kaggle - Web Traffic Time Series Forecasting

Evaluation framework for testing segmentation networks in Keras

Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training

Kaggle-like machine learning competition platform

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

End-to-end image segmentation kit based on PaddlePaddle.

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

Segmentation of Lungs from Chest X-Rays using Fully Connected Networks

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

tensorflow version of unet

GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow

Generalized Data-free Universal Adversarial Perturbations

Crop/Weed Field Image Dataset

A community run, 5-day PyTorch Deep Learning Bootcamp

3D Unet Equipped with Advanced Deep Learning Methods

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Edge-aware U-Net with CRF-RNN layer for Medical Image Segmentation

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.