dimitrisdais / crack_detection_CNN_masonryLinks
This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning" by D. Dais, Δ°. E. Bal, E. Smyrou, and V. Sarhosis published in "Automation in Construction".
β195Updated last year
Alternatives and similar repositories for crack_detection_CNN_masonry
Users that are interested in crack_detection_CNN_masonry are comparing it to the libraries listed below
Sorting:
- π This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of Deep Learning-Based Crackβ¦β96Updated last year
- DeepCrack: Learning Hierarchical Convolutional Features for Crack Detectionβ340Updated 2 years ago
- Crack Detection On Highway Or Pavement Using OpenCVβ158Updated last year
- DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.β287Updated 2 years ago
- Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspectionβ255Updated 2 years ago
- Deep Learning Model for Crack Detection and Segmentationβ162Updated last year
- Concrete Crack and Spalling Detection using Deep Neural Networkβ91Updated 6 years ago
- Concrete crack detection for structural inspection.β45Updated 2 years ago
- This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiβ¦β427Updated last year
- β400Updated 11 months ago
- The Pytorch Implementation of Our Concrete Crack and Spall Detectionβ26Updated 6 years ago
- Pavement surface crack datasets for DL based crack detectionβ63Updated 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¦β44Updated 3 years ago
- Collection of works in my PhD at Virginia Tech, mostly focused on computer vision and machine learning applications in structural inspectβ¦β59Updated 5 months ago
- Training dataset for Crack Detectionβ32Updated 6 years ago
- This repo contains customized deep learning models for segmenting cracks.β51Updated 4 years ago
- An application FCN for crack recogntion using tensorflowβ53Updated 7 years ago
- β39Updated 6 years ago
- The project uses Unet-based improved networks to study road crack segmentation, which is based on keras.β44Updated 6 years ago
- β353Updated 8 years ago
- Crack detection for concrete structure using Matlabβ32Updated 8 years ago
- A Pytorch implementation of DeepCrack and RoadNet projects.β300Updated last year
- Concrete crack pixel semantic datasetβ10Updated 6 years ago
- [ECCV W 2022] "CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks" by Shreyas Kulkarni, Shreyas Singh,β¦β67Updated last year
- A Unet based modified architecture for crack detectionβ49Updated 5 years ago
- Python UNET implementation on the problem of concrete crack detection and critical width locationβ23Updated 5 years ago
- DAUNet: Deep Augmented Neural Network for Pavement Crack Segmentationβ17Updated 3 years ago
- Real-time High-Resolution Neural Network with Semantic Guidance for Crack Segmentationβ72Updated last year
- β17Updated 7 years ago
- Concrete Crack Detection for Structural Auditβ31Updated 5 years ago