MILIND-RAJ / Concrete-Crack-Images-Classification-Using-ResNet50
Deep learning model for classifying concrete images as with or without crack
☆12Updated 4 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
- Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance☆55Updated 5 years ago
- ☆16Updated 6 years ago
- The Pytorch Implementation of Our Concrete Crack and Spall Detection☆25Updated 5 years ago
- Crack Detection On Highway Or Pavement Using OpenCV☆140Updated 7 months ago
- 📅This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of Deep Learning-Based Crack…☆69Updated 2 months ago
- This is a Surface Crack Detection project implemented with the Tensorflow. We fine tuning some deep learning models (like VGG 19, VGG16, …☆11Updated 2 years ago
- Fine-tuning Resnet-50 FPN based DNN for road crack detection on RDD2022☆12Updated 2 years ago
- Crack detection for an autonomous UAV☆11Updated 6 years ago
- A convolutional neural network built using keras to detect cracks on road with 97.5% accuracy.☆44Updated 4 years ago
- A Unet based modified architecture for crack detection☆42Updated 4 years ago
- CarNet is a fast pavement crack detector which achieves excellent accuracy.☆15Updated last year
- Concrete Crack and Spalling Detection using Deep Neural Network☆83Updated 6 years ago
- Concrete crack pixel semantic dataset☆9Updated 5 years ago
- The project uses Unet-based improved networks to study road crack segmentation, which is based on keras.☆44Updated 5 years ago
- This repo contains customized deep learning models for segmenting cracks.☆50Updated 3 years ago
- This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on m…☆169Updated 3 months ago
- A CNN (Convolutional Neural Network) model to automatically classify images of building construction that show deficient work, with crack…☆17Updated 5 years ago
- This project contains our three crack detection datasets，i.e., Sun520, Rain365, and BJN260.☆12Updated 2 years ago
- DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection☆277Updated last year
- Binary semantic segmentation of the blowhole_crack and free datasets.☆14Updated 2 years ago
- Multiscale Attention Based Efficient U-Net for Crack Segmentation, segments a RGB image into 2 classes crack and non-crack, this method o…☆41Updated 2 years ago
- Implementation of Improving the Efficiency of Encoder-Decoder Architecture for Pixel-level Crack Detection. keras with tensorflow backen…☆11Updated 5 years ago
- Training dataset for Crack Detection☆30Updated 6 years ago
- Built on python, this repository contains the code for crack detection in concrete surfaces.☆19Updated 5 years ago
- Python UNET implementation on the problem of concrete crack detection and critical width location☆21Updated 4 years ago
- CNN for crack classification, intended for use in a crack inspection pipeline (see references).☆40Updated 5 years ago
- A method to calculate the width of a binary image as described in:☆23Updated last year
- Road crack detection project based on NestedUnet model☆19Updated 3 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☆39Updated 3 years ago
- A minimalistic GUI for crack detection on concrete using deep learning☆12Updated 5 years ago