645 Open source projects that are alternatives of or similar to Semantic Segmentation Of Remote Sensing Images

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

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

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

Segmentation models with pretrained backbones. PyTorch.

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

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

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.

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 paper list of RGBD semantic segmentation (processing)

A PyTorch collection of semantic segmentation tools.

Open solution to the TGS Salt Identification Challenge

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

[NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

The implementation of 3D-UNet using PyTorch

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

Pytorch implementation of UNet for converting aerial satellite images into google maps kinda images.

Deep learning applied to georeferenced datasets

Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020

Deep Learning for Computer Vision (CommE 5052) in NTU

Implementation of Uformer, Attention-based Unet, in Pytorch

Official code for ResUNetplusplus for medical image segmentation (TensorFlow implementation) (IEEE ISM)

BCDU-Net : Medical Image Segmentation

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

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

基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.X下运行。

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

Lung segmentation for chest X-Ray images

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

Cell Detection with PyTorch.

2D and 3D UNet implementation in PyTorch.

Keras BiseNet architecture implementation

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

This is a repository for a semantic segmentation inference API using the OpenVINO toolkit

Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

Smart India Hackathon 2019 project given by the Department of Atomic Energy

PyTorch implementation of UNet++ (Nested U-Net).

CRF-RNN Keras/Tensorflow version

常用的语义分割架构结构综述以及代码复现

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

📚 A collection of papers about Referring Image Segmentation.

Develop production ready deep learning code, deploy it and scale it

Winning solution for the Kaggle TGS Salt Identification Challenge.

A semantic segmentation toolbox based on PyTorch

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

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.)

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

Model for document segmentation trained on the midv-500-models dataset.

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

Tensorflow implementation : U-net and FCN with global convolution

tensorflow version of unet

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

A curated list of resources focused on Machine Learning in Geospatial Data Science.

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

Tensorflow implement of U-Net

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