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Top 160 image-segmentation open source projects

Smoothly Blend Image Patches
Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.
Pixel level land classification
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
Pyimsegm
Image segmentation - general superpixel segmentation & center detection & region growing
Signature extractor
A super lightweight image processing algorithm for detection and extraction of overlapped handwritten signatures on scanned documents using OpenCV and scikit-image.
Dataturks
ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.
Keras Unet
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
End To End For Chinese Plate Recognition
基于u-net,cv2以及cnn的中文车牌定位,矫正和端到端识别软件,其中unet和cv2用于车牌定位和矫正,cnn进行车牌识别,unet和cnn都是基于tensorflow的keras实现
Hms Ml Demo
HMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts.
Osmdeepod
OSMDeepOD - OpenStreetMap (OSM) and Machine Learning (Deep Learning) based Object Detection from Aerial Imagery (Formerly also known as "OSM-Crosswalk-Detection").
Keras unet plus plus
keras implementation of unet plus plus
Kaggle dstl submission
Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge
Super Bpd
Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation (CVPR 2020)
Livianet
This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"
Tf unet
Generic U-Net Tensorflow implementation for image segmentation
Semantic Segmentation Of Remote Sensing Images
遥感图像的语义分割,基于深度学习,在Tensorflow框架下,利用TF.Keras,运行环境TF2.0+
Hyperdensenet
This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
Trimap generator
Generating automatic trimap through pixel dilation and strongly-connected-component algorithms
Tf.keras Commonly Used Models
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。
Tta wrapper
Test Time image Augmentation (TTA) wrapper for Keras model.
Fast Slic
20x Real-time superpixel SLIC Implementation with CPU
Sky Detector
Sky area detection without deep neural networks https://maybeshewill-cv.github.io/sky-detector/
Tf Segnet
SegNet-like network implemented in TensorFlow to use for segmenting aerial images
Awesome Referring Image Segmentation
📚 A collection of papers about Referring Image Segmentation.
Paddleseg
End-to-end image segmentation kit based on PaddlePaddle.
Image Segmentation Fcn
Semantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow
Attention Gated Networks
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
Tensorflow Deeplab v3 plus
图像分割算法deeplab_v3+,基于tensorflow,中文注释,摄像头可用
Lovaszsoftmax
Code for the Lovász-Softmax loss (CVPR 2018)
Multiclass Semantic Segmentation Camvid
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.
Coco Annotator
✏️ Web-based image segmentation tool for object detection, localization, and keypoints
Image Segmenter Android
Realtime Image Segmentation on Android
Unet Tensorflow
Tensorflow implement of U-Net
Segmentationcpp
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.
Grabcutweb
Full web grabcut example using opencvjs
Segmentation wbc
White blood cell (WBC) image datasets
Albumentations
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
Graph Based Image Segmentation
Implementation of efficient graph-based image segmentation as proposed by Felzenswalb and Huttenlocher [1] that can be used to generate oversegmentations.
Midv 500 Models
Model for document segmentation trained on the midv-500-models dataset.
Active Contour Model Python
The python code of Chan-Vese model and RSF model for image segmentation
Max Image Segmenter Web App
Deploy a Deep Learning Powered "Magic Cropping Tool" using Pre-Trained Open Source Models
Detection Of Breast Cancer Using Neural Networks
This project is made in Matlab Platform and it detects whether a person has cancer or not by taking into account his/her mammogram.
Wbc segmentaion
White Blood Cell Image Segmentation Using Deep Convolution Neural Networks
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