Image Eraser allows users to perform image segmentation inside browser using a vector editor (FabricJS) and JS implementations of superpixel algorithms. https://github.com/AKSHAYUBHAT/ImageSegmentation
License: MIT Author: Akshay Bhat
for object detection and instance segmentation on Keras and TensorFlow
This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature Pyramid Network (FPN) and a ResNet101 backbone
https://github.com/matterport/Mask_RCNN
An edited version: https://colab.research.google.com/github/zaidalyafeai/Notebooks/blob/master/Mask_RCNN.ipynb#scrollTo=IIDafmcXSNns
License: MIT Author: Matterport, Inc.
Tool for removing background from image using neural networks using U^2-net, BASNet & DeepLabV3
https://github.com/OPHoperHPO/image-background-remove-tool
BackgroundRemover is a command line tool to remove background from video and image https://github.com/nadermx/backgroundremover
https://github.com/NathanUA/U-2-Net
https://github.com/shreyas-bk/U-2-Net-Demo
https://github.com/dennisbappert/u-2-net-portrait
Rembg is a tool to remove images background. https://github.com/danielgatis/rembg
https://github.com/senguptaumd/Background-Matting
MODNet is a model for real-time portrait matting with only RGB image input. https://github.com/ZHKKKe/MODNet
You can deploy an API to remove background from an image. Such an API can be used in e-commerce, retail and fashion.
https://github.com/rorodata/background-removal
https://gitlab.com/fast-science/background-removal-server/tree/master/webapp/model
https://medium.com/@burgalon/deploying-your-keras-model-35648f9dc5fb
Demo: https://greenscreen-ai.boorgle.com/
License: "open source", unknown license Authors: The model is developed by Alon Burg and Gidi Shperber
https://github.com/susheelsk/image-background-removal
https://github.com/SaoYan/bgsCNN
https://github.com/eti-p-doray/unet-gan-matting
https://github.com/YunanWu2168/Background-removal-using-deep-learning
https://github.com/aadityavikram/Background-Removal
This is a Fiji plugin based on the SIOX project to segment color images. SIOX stands for Simple Interactive Object Extraction, a method for extracting foreground from still images with very little user interaction.
https://www.youtube.com/watch?v=A_FWoD82U_o
https://imagej.net/SIOX:_Simple_Interactive_Object_Extraction
https://github.com/fiji/SIOX_segmentation
License: Apache License/GNU GPL, for details read here Authors: Ignacio Arganda-Carreras & Contributors
The G’MIC plug-in for GIMP allows to interactively extract a foreground object present in a color image, from its background (considering a single-layered bitmap image as the input)
http://opensource.graphics/how-to-code-a-nice-user-guided-foreground-extraction-algorithm/
http://opensource.graphics/how-to-code-a-nice-user-guided-foreground-extraction-algorithm-addendum/
http://opensource.graphics/category/algorithm/
https://www.youtube.com/watch?v=JfxTTU4yba8
http://opensource.graphics/tag/image-segmentation/
https://docs.opencv.org/3.4.3/d1/dc5/tutorial_background_subtraction.html
Interactive Foreground Extraction using GrabCut Algorithm
https://docs.opencv.org/trunk/d8/d83/tutorial_py_grabcut.html
https://codeloop.org/python-opencv-grabcut-foreground-detection/
OpenCV Implementation of the FASA (Fast, Accurate, and Size-Aware Salient Object Detection) algorithm
[code] [wiki] [example] Abstract/code
https://github.com/yu45020/Text_Segmentation_Image_Inpainting
https://github.com/yossigandelsman/DoubleDIP http://www.wisdom.weizmann.ac.il/~vision/DoubleDIP/index.html
https://github.com/facebookresearch/deepmask/blob/master/README.md https://code.fb.com/ml-applications/segmenting-and-refining-images-with-sharpmask/
https://courses.cs.washington.edu/courses/cse576/book/ch10.pdf
Interactive Image Segmentation with Latent Diversity http://vladlen.info/publications/interactive-image-segmentation-latent-diversity/ https://github.com/IntelVCL/Intseg
http://structuralsegm.sourceforge.net/
http://matthewalunbrown.com/segment/segment.html
http://www4.comp.polyu.edu.hk/~cslzhang/MSRM/PR_MSRM_website.htm
https://www.groundai.com/project/interactive-full-image-segmentation/
https://github.com/kozistr/Awesome-Segmentations
https://github.com/davidstutz/graph-based-image-segmentation
https://github.com/shrutisingala/opencv-Image-Segmentation
https://github.com/lim-anggun/FgSegNet
https://github.com/horvitzs/Interactive_Segmentation_Models
https://github.com/Griffin98/Segmentation_based_Semantic_Matting