MILIND-RAJ / Concrete-Crack-Images-Classification-Using-ResNet50Links
Deep learning model for classifying concrete images as with or without crack
☆11Updated 5 years ago
Alternatives and similar repositories for Concrete-Crack-Images-Classification-Using-ResNet50
Users that are interested in Concrete-Crack-Images-Classification-Using-ResNet50 are comparing it to the libraries listed below
Sorting:
- Crack Detection On Highway Or Pavement Using OpenCV☆157Updated last year
- ☆18Updated 6 years ago
- 📅This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of Deep Learning-Based Crack…☆93Updated 10 months ago
- This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on m…☆190Updated last year
- Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance☆57Updated 5 years ago
- The Pytorch Implementation of Our Concrete Crack and Spall Detection☆25Updated 6 years ago
- Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection☆247Updated 2 years ago
- Concrete Crack and Spalling Detection using Deep Neural Network☆88Updated 6 years ago
- This is a Surface Crack Detection project implemented with the Tensorflow. We fine tuning some deep learning models (like VGG 19, VGG16, …☆11Updated 3 years ago
- A convolutional neural network built using keras to detect cracks on road with 97.5% accuracy.☆46Updated 4 years ago
- DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection☆325Updated 2 years ago
- The project uses Unet-based improved networks to study road crack segmentation, which is based on keras.☆44Updated 6 years ago
- Crack detection for concrete structure using Matlab☆32Updated 8 years ago
- Crack detection for an autonomous UAV☆12Updated 7 years ago
- Training dataset for Crack Detection☆31Updated 6 years ago
- Fine-tuning Resnet-50 FPN based DNN for road crack detection on RDD2022☆17Updated 2 years ago
- ☆38Updated 6 years ago
- Deep Learning Model for Crack Detection and Segmentation☆162Updated last year
- Built on python, this repository contains the code for crack detection in concrete surfaces.☆19Updated 6 years ago
- Collection of works in my PhD at Virginia Tech, mostly focused on computer vision and machine learning applications in structural inspect…☆57Updated 3 months ago
- A Unet based modified architecture for crack detection☆48Updated 5 years ago
- An application FCN for crack recogntion using tensorflow☆53Updated 7 years ago
- This project contains our three crack detection datasets，i.e., Sun520, Rain365, and BJN260.☆12Updated 2 years ago
- This repo contains customized deep learning models for segmenting cracks.☆51Updated 4 years ago
- Python UNET implementation on the problem of concrete crack detection and critical width location☆23Updated 4 years ago
- This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Ti…☆423Updated last year
- The following model uses hybrid CNN- RNN model for classification of each pixel to its corresponding classes. Further the code is develop…☆14Updated 6 years ago
- Concrete Crack Detection for Structural Audit☆31Updated 5 years ago
- A python-based crack detection and classification system using deep learning; used YOLO object detection algorithm. To extract the featur…☆21Updated 5 years ago
- CarNet is a fast pavement crack detector which achieves excellent accuracy.☆15Updated 2 years ago