1056 Open source projects that are alternatives of or similar to Entity

Segmentation models with pretrained backbones. PyTorch.

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Sandbox for training deep learning networks

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

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

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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.

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

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

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.)

Easily train or fine-tune SOTA computer vision models with one open source training library

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

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

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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.

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Unsupervised instance segmentation via active robot interaction

CNNs for semantic segmentation using Keras library

Tensorflow implementation : U-net and FCN with global convolution

Keras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)

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

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

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

Codes of paper "Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling", ICRA 2022

Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge

keras implementation of unet plus plus

Machine Learning Project to identify an ID Card on an image

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

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PyTorch re-implementation of DeepMask

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

An awesome semantic segmentation model that runs in real time

Modification of convolutional neural net "UNET" for image segmentation in Keras framework

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A paper list of RGBD semantic segmentation (processing)

Address book for computer vision models.

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

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This is a repository for a semantic segmentation inference API using the OpenVINO toolkit

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