1240 Open source projects that are alternatives of or similar to Semantic Segmentation Suite

Machine Learning Project to identify an ID Card on an image

CNNs for semantic segmentation using Keras library

An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

Summary and experiment includes basic segmentation, human segmentation, human or portrait matting for both image and video.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

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

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

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.

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

Binary semantic segmentation with UNet based on MobileNetV2 encoder

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

A list of popular deep learning models related to classification, segmentation and detection problems

Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

BCDU-Net : Medical Image Segmentation

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

Powerful and efficient Computer Vision Annotation Tool (CVAT)

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

A collection of dataset loaders

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.

This is an ongoing re-implementation of DeepLab_v3_plus on pytorch which is trained on VOC2012 and use ResNet101 for backbone.

Crop/Weed Field Image Dataset

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

CRF-RNN PyTorch version http://crfasrnn.torr.vision

train test labels for sunrgbd

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

[AAAI'20] Segmenting Medical MRI via Recurrent Decoding Cell (Spotlight)

segmentation paper reading notes

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

SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

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

Sandbox for training deep learning networks

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

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

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

Pytorch code for semantic segmentation using ERFNet

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

Segmentation models with pretrained backbones. 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.)

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

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

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network(PyTorch >= 1.4)

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

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

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

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Tensorflow implementation : U-net and FCN with global convolution

TFslim based semantic segmentation models, modular&extensible boutique design

API for the dataset proposed in "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

A native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.

An awesome semantic segmentation model that runs in real time

A tool for running deep learning algorithms for semantic segmentation with satellite imagery

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported

A large-scale dataset for face parsing (AAAI2020)

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919