ConcreteAnalyzers's repositories
DeepCrack
DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection
RoadNet
RoadNet: A Multi-task Benchmark Dataset for Road Detection, TGRS.
DeepCrack-1
DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.
crack_detection
Concrete Crack Detection for Structural Audit
crack_segmentation
This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu
Deep-Learning-and-Computer-Vision-for-Structural-Crack-Detection-And-Classification
Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance
DeepSegmentor
A Pytorch implementation of DeepCrack and RoadNet projects.
surface-crack-detection
Detect crack on surface
Concrete-crack-detection
Concrete crack pixel semantic dataset
Crack-Semantic-Segmentation
Real time crack segmentation using PyTorch, OpenCV and ONNX runtime
Concrete-Crack-Detection-1
Crack detection for an autonomous UAV