🤘 awesome-semantic-segmentation

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

Caffe: a fast open framework for deep learning.

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Label Studio is a multi-type data labeling and annotation tool with standardized output format

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

Semantic Segmentation Architectures Implemented in PyTorch

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

Segmentation models with pretrained backbones. PyTorch.

Sandbox for training convolutional networks for computer vision

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

PyTorch for Semantic Segmentation

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

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

DeepLab-ResNet rebuilt in TensorFlow

An open source framework for deep learning on satellite and aerial imagery.

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

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.

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

Web labeling tool for bitmap images and point clouds

A curated list of awesome data labeling tools

PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC

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

PyTorch Implementations for DeeplabV3 and PSPNet

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)