xaviergoby / Deep-Learning-and-Computer-Vision-for-Structural-Crack-Detection-And-ClassificationLinks
Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance
☆57Updated 5 years ago
Alternatives and similar repositories for Deep-Learning-and-Computer-Vision-for-Structural-Crack-Detection-And-Classification
Users that are interested in Deep-Learning-and-Computer-Vision-for-Structural-Crack-Detection-And-Classification are comparing it to the libraries listed below
Sorting:
- Crack Detection On Highway Or Pavement Using OpenCV☆158Updated last year
- CNN for crack classification, intended for use in a crack inspection pipeline (see references).☆41Updated 6 years ago
- A convolutional neural network built using keras to detect cracks on road with 97.5% accuracy.☆46Updated 5 years ago
- Visual inspection of bridges is customarily used to identify and evaluate faults. However, current procedures followed by human inspector…☆22Updated 6 years ago
- 📅This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of Deep Learning-Based Crack…☆96Updated last year
- The Pytorch Implementation of Our Concrete Crack and Spall Detection☆26Updated 6 years ago
- This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on m…☆195Updated last year
- Crack detection for concrete structure using Matlab☆32Updated 8 years ago
- Concrete Crack and Spalling Detection using Deep Neural Network☆91Updated 6 years ago
- xaviergoby / ConvLSTM-Computer-Vision-for-Structural-Health-Monitoring-SHM-and-NonDestructive-Testing-NDTApplication of LSTM network for Structural Health Monitoring & Non-Destructive Testing☆47Updated 4 years ago
- ☆17Updated 7 years ago
- Python UNET implementation on the problem of concrete crack detection and critical width location☆23Updated 5 years ago
- A minimalistic GUI for crack detection on concrete using deep learning☆10Updated 6 years ago
- Deep Learning Model for Crack Detection and Segmentation☆161Updated last year
- Built on python, this repository contains the code for crack detection in concrete surfaces.☆19Updated 6 years ago
- This repository focuses on the automation of blade inspection, using different Computer Vision (CV) approaches and methods to detect dama…☆34Updated 6 years ago
- Deep learning model for classifying concrete images as with or without crack☆11Updated 5 years ago
- Real time crack segmentation using PyTorch, OpenCV and ONNX runtime☆64Updated 3 years ago
- The project uses Unet-based improved networks to study road crack segmentation, which is based on keras.☆43Updated 6 years ago
- U-Net variants to segment cracks in pavement☆14Updated 7 years ago
- Crack detection for an autonomous UAV☆12Updated 7 years ago
- Collection of works in my PhD at Virginia Tech, mostly focused on computer vision and machine learning applications in structural inspect…☆59Updated 5 months ago
- Digital twin for structural dynamics applications☆26Updated 5 years ago
- we made the crop and weed detection model using YOLOV3 on agricultural image data.☆127Updated 2 years ago
- Crack Analysis Tool in Python (CrackPy) - automatic detection and fracture mechanical analysis of (fatigue) cracks using digital image co…☆94Updated 2 months ago
- 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
- Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection☆255Updated 2 years ago
- Concrete Crack Detection for Structural Audit☆31Updated 5 years ago
- SHMnet: Condition Assessment of Bolted Connection with Beyond Human-level Performance☆13Updated 6 years ago
- An application of CNN for crack detection using Caffe☆11Updated 5 years ago