351 Open source projects that are alternatives of or similar to Kaggle Carvana Image Masking Challenge

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

Semantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

图像分割算法deeplab_v3+，基于tensorflow，中文注释，摄像头可用

Code for the Lovász-Softmax loss (CVPR 2018)

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.

✏️ Web-based image segmentation tool for object detection, localization, and keypoints

Realtime Image Segmentation on Android

Tensorflow implement of U-Net

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.

Full web grabcut example using opencvjs

White blood cell (WBC) image datasets

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Implementation of efficient graph-based image segmentation as proposed by Felzenswalb and Huttenlocher [1] that can be used to generate oversegmentations.

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

The python code of Chan-Vese model and RSF model for image segmentation

Deploy a Deep Learning Powered "Magic Cropping Tool" using Pre-Trained Open Source Models

This project is made in Matlab Platform and it detects whether a person has cancer or not by taking into account his/her mammogram.

White Blood Cell Image Segmentation Using Deep Convolution Neural Networks

Catalyst.Segmentation

UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

GUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it

ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

常用的语义分割架构结构综述以及代码复现

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.)

CRF-RNN Keras/Tensorflow version

Perform image segmentation and background removal in javascript using superpixes

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

Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

Keras package for region-based convolutional neural networks (RCNNs)

TernausNetV2: Fully Convolutional Network for Instance Segmentation

A curated list of awesome links and software libraries that are useful for robots.

Javascript image annotation tool based on image segmentation.

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

High-performance Vision library in Python. Scale your research, not boilerplate.

CVPR 2021 论文和开源项目合集

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

U-Net: Convolutional Networks for Biomedical Image Segmentation

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

Medical image processing in Python

Winning solution for the Kaggle TGS Salt Identification Challenge.

Neural networks training pipeline based on PyTorch

Segmentation models with pretrained backbones. PyTorch.

🐎📈 Constantly summarizing open source dataset and important critical papers in the field of surface defect research which are very important. 🐋

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

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

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

Semantic image segmentation in Tensorflow

OpenMMLab Semantic Segmentation Toolbox and Benchmark.