konskyrt / Concrete-Crack-Detection-Segmentation
π
This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks
β56Updated 10 months ago
Related projects β
Alternatives and complementary repositories for Concrete-Crack-Detection-Segmentation
- This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on mβ¦β154Updated 11 months ago
- Concrete Crack and Spalling Detection using Deep Neural Networkβ71Updated 5 years ago
- Crack Detection On Highway Or Pavement Using OpenCVβ124Updated 2 months ago
- DeepCrack: Learning Hierarchical Convolutional Features for Crack Detectionβ254Updated last year
- Training dataset for Crack Detectionβ25Updated 5 years ago
- Deep Learning Model for Crack Detection and Segmentationβ139Updated 5 months ago
- The Pytorch Implementation of Our Concrete Crack and Spall Detectionβ21Updated 5 years ago
- DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.β221Updated last year
- This repo contains customized deep learning models for segmenting cracks.β50Updated 3 years ago
- Concrete crack pixel semantic datasetβ9Updated 5 years ago
- β16Updated 5 years ago
- DAUNet: Deep Augmented Neural Network for Pavement Crack Segmentationβ16Updated last year
- A Unet based modified architecture for crack detectionβ37Updated 4 years ago
- Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspectionβ184Updated last year
- Collection of works in my PhD at Virginia Tech, mostly focused on computer vision and machine learning applications in structural inspectβ¦β47Updated 9 months ago
- This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiβ¦β377Updated 6 months ago
- β345Updated 5 months ago
- Python UNET implementation on the problem of concrete crack detection and critical width locationβ21Updated 3 years ago
- Multiscale Attention Based Efficient U-Net for Crack Segmentation, segments a RGB image into 2 classes crack and non-crack, this method oβ¦β36Updated 2 years ago
- Pavement surface crack datasets for DL based crack detectionβ58Updated 2 years ago
- Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenanceβ54Updated 4 years ago
- The project uses Unet-based improved networks to study road crack segmentation, which is based on keras.β43Updated 5 years ago
- A minimalistic GUI for crack detection on concrete using deep learningβ11Updated 4 years ago
- β33Updated 5 years ago
- Crack detection for an autonomous UAVβ11Updated 6 years ago
- An application FCN for crack recogntion using tensorflowβ46Updated 6 years ago
- Concrete Crack Detection for Structural Auditβ30Updated 4 years ago
- Concrete crack detection for structural inspection.β31Updated last year
- A Pytorch implementation of DeepCrack and RoadNet projects.β264Updated last year