1249 Open source projects that are alternatives of or similar to Deep Segmentation

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

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

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.

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

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

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

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

The official homepage of the (outdated) COCO-Stuff 10K dataset.

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

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

Pytorch code for semantic segmentation using ERFNet

An awesome semantic segmentation model that runs in real time

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

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

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

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

A collection of dataset loaders

HyperSeg - Official PyTorch Implementation

train test labels for sunrgbd

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

segmentation paper reading notes

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

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

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.)

Powerful and efficient Computer Vision Annotation Tool (CVAT)

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

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

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.

Sandbox for training deep learning networks

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

Crop/Weed Field Image Dataset

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

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

Protein order and disorder data for Keras, Tensor Flow and Edward frameworks with automated update cycle made for continuous learning applications.

A large-scale dataset for face parsing (AAAI2020)

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

Human Trajectory Prediction Dataset Benchmark (ACCV 2020)

Cut and paste augmentation for object detection and instance segmentation

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

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

Tensorflow implementation : U-net and FCN with global convolution

Binary semantic segmentation with UNet based on MobileNetV2 encoder

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

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

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

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

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

Segmentation models with pretrained backbones. PyTorch.

Machine Learning Project to identify an ID Card on an image

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

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

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

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

Advanced Normalization Tools in R

BCDU-Net : Medical Image Segmentation

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.

TFslim based semantic segmentation models, modular&extensible boutique design