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The Top 23 Deep Neural Networks Image Segmentation Open Source Projects

Open source projects categorized as Deep Neural Networks Image Segmentation
Categories > Machine Learning > Deep Neural Networks
Categories > Machine Learning > Image Segmentation
Notebooks ⭐ 3,677
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
most recent commit 3 months ago
Refinenet ⭐ 500
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
most recent commit 5 years ago
Keras Unet ⭐ 194
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
total releases 7most recent commit 3 years ago
Deepsegmentor ⭐ 183
A Pytorch implementation of DeepCrack and RoadNet projects.
most recent commit a year ago
P2pala ⭐ 171
Page to PAGE Layout Analysis Tool
most recent commit 2 years ago
Deepcrack ⭐ 157
DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.
most recent commit a year ago
Deep Unet For Satellite Image Segmentation ⭐ 155
Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet
most recent commit 5 years ago
Livianet ⭐ 133
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"
most recent commit 4 years ago
Hyperdensenet ⭐ 106
This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
most recent commit 4 years ago
Torchflare ⭐ 83
TorchFlare is a simple, beginner-friendly, and easy-to-use PyTorch Framework train your models effortlessly.
total releases 6most recent commit 4 months ago
Deeplab Pytorch ⭐ 60
Deeplab for semantic segmentation tasks
most recent commit 5 years ago
How To Train Your Neural Net ⭐ 55
Deep learning research implemented on notebooks using PyTorch.
most recent commit 2 years ago
Medicalimagesegmentation ⭐ 45
This repository aims at containing all the code employed at LIVIA to segment medical images. Mainly, our research focuses on bringind the expertise in deep learning and optimization techniques to the medical image analysis domain.
most recent commit 6 years ago
Isaac_ros_image_segmentation ⭐ 40
Hardware-accelerated, deep learned semantic image segmentation
most recent commit 5 months ago
Vr Project ⭐ 29
Deep Understanding of Traffic Scenes for Autonomous Driving
most recent commit 7 years ago
Docsegtr ⭐ 23
A Bottom-Up Instance Segmentation Strategy for segmenting document instances using Transformers
most recent commit 2 years ago
Reproducibilty Challenge Ecanet ⭐ 22
Unofficial Implementation of ECANets (CVPR 2020) for the Reproducibility Challenge 2020.
most recent commit 3 years ago
Deepnet For Semantic Labeling Photogrammetry ⭐ 19
2D semantic segmentation that assigns labels to multiple object categories on Potsdam dataset 🚀
most recent commit 2 years ago
Oct Retinal Layer Segmenter ⭐ 18
most recent commit a year ago
Busternet ⭐ 17
most recent commit 5 years ago
Concise Ipython Notebooks For Deep Learning ⭐ 17
Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
most recent commit 5 years ago
Superpixels Segmentation ⭐ 13
Research internship - Image segmentation by superpixels based on PyTorch
most recent commit 3 years ago
Faster R Cnn Tensorflow Api Custom ⭐ 10
Faster R-CNN with Tensorflow Object Detection API for Custom Dataset.
most recent commit a year ago
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