Alternatives and similar repositories for Road-Crack-Segmentation--Keras

Users that are interested in Road-Crack-Segmentation--Keras are comparing it to the libraries listed below

• yhlleo / DeepCrack
  DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.
  ☆282Updated 2 years ago
• choiw-public / Crack-segmentation
  This repo contains customized deep learning models for segmenting cracks.
  ☆51Updated 4 years ago
• arthurflor23 / surface-crack-detection
  Deep Learning Model for Crack Detection and Segmentation
  ☆161Updated last year
• juhuyan / CrackDataset_DL_HY
  Pavement surface crack datasets for DL based crack detection
  ☆62Updated 3 years ago
• qinnzou / DeepCrack
  DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection
  ☆333Updated 2 years ago
• yhlleo / DeepSegmentor
  A Pytorch implementation of DeepCrack and RoadNet projects.
  ☆299Updated last year
• khanhha / crack_segmentation
  This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Ti…
  ☆424Updated last year
• CCNYRoboticsLab / concreteIn_inpection_VGGF
  Concrete Crack and Spalling Detection using Deep Neural Network
  ☆90Updated 6 years ago
• mqp2259 / EdmCrack600
  The dataset consists of 600 images about pavement cracks taken from roads in Edmonton Canada. They are all annotated at pixel level for c…
  ☆34Updated 5 years ago
• cuilimeng / CrackForest
  ☆63Updated 8 years ago
• cuilimeng / CrackForest-dataset
  ☆349Updated 8 years ago
• dvalex / daunet
  DAUNet: Deep Augmented Neural Network for Pavement Crack Segmentation
  ☆17Updated 3 years ago
• MrtnMndt / meta-learning-CODEBRIM
  Open-source code for our CVPR19 paper "Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification w…
  ☆78Updated 5 years ago
• tranleanh / modified-resunet
  Modified Residual U-Net (ResUnet) for Image Segmentation
  ☆42Updated last year
• fyangneil / pavement-crack-detection
  ☆397Updated 10 months ago
• mrFahrenhiet / CrackSegmentationDeepLearning
  Multiscale Attention Based Efficient U-Net for Crack Segmentation, segments a RGB image into 2 classes crack and non-crack, this method o…
  ☆44Updated 3 years ago
• KangchengLiu / Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection
  Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection
  ☆252Updated 2 years ago
• Subham2901 / Concrete_Crack_Segmentation
  A Unet based modified architecture for crack detection
  ☆49Updated 5 years ago
• dimitrisdais / crack_detection_CNN_masonry
  This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on m…
  ☆192Updated last year
• ChienWong / ResUnet-a
  For the semantic segmentation of remote sensing image, tensorflow implementation
  ☆75Updated 5 years ago
• CCNYRoboticsLab / pytorch_Concrete_Inspection
  The Pytorch Implementation of Our Concrete Crack and Spall Detection
  ☆26Updated 6 years ago
• RyM-CIC / Crack-segmentation
  U-Net variants to segment cracks in pavement
  ☆14Updated 7 years ago
• MadanMaram / Crack_segmentation
  CrackDetection for both pavement and concrete meterials
  ☆15Updated 5 years ago
• aidonchuk / cracks_segmentation_dataset
  All in one cracks segmentation dataset()
  ☆39Updated 6 years ago
• 1044197988 / 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。
  ☆183Updated 5 years ago
• karmarv / rdd2020
  Road Damage Detection Challenge (IEEE Big Data Cup 2020)
  ☆21Updated 4 years ago
• rakehsaleem / DeepLearning-ConcreteDataset
  Training dataset for Crack Detection
  ☆31Updated 6 years ago
• OnionDoctor / FCN_for_crack_recognition
  An application FCN for crack recogntion using tensorflow
  ☆53Updated 7 years ago
• anishreddy3 / Crack-Semantic-Segmentation
  Real time crack segmentation using PyTorch, OpenCV and ONNX runtime
  ☆64Updated 3 years ago
• Swig-DPI / Concrete_crack_detection
  ☆17Updated 7 years ago