nhorro / tensorflow-crack-classification
CNN for crack classification, intended for use in a crack inspection pipeline (see references).
☆40Updated 5 years ago
Alternatives and similar repositories for tensorflow-crack-classification:
Users that are interested in tensorflow-crack-classification 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
- U-Net variants to segment cracks in pavement☆14Updated 6 years ago
- A convolutional neural network built using keras to detect cracks on road with 97.5% accuracy.☆44Updated 4 years ago
- ☆17Updated 6 years ago
- Attempt to reproduce paper for crack inspection in nuclear plants from video footage.(see references).☆14Updated 5 years ago
- Visual inspection of bridges is customarily used to identify and evaluate faults. However, current procedures followed by human inspector…☆20Updated 5 years ago
- The Pytorch Implementation of Our Concrete Crack and Spall Detection☆25Updated 5 years ago
- A minimalistic GUI for crack detection on concrete using deep learning☆12Updated 5 years ago
- Crack Detection On Highway Or Pavement Using OpenCV☆141Updated 7 months ago
- Implementation of Improving the Efficiency of Encoder-Decoder Architecture for Pixel-level Crack Detection. keras with tensorflow backen…☆11Updated 5 years ago
- Concrete Crack and Spalling Detection using Deep Neural Network☆84Updated 6 years ago
- Crack detection for concrete structure using Matlab☆32Updated 7 years ago
- Real time crack segmentation using PyTorch, OpenCV and ONNX runtime☆61Updated 2 years ago
- Concrete Crack Detection for Structural Audit☆30Updated 5 years ago
- Python UNET implementation on the problem of concrete crack detection and critical width location☆21Updated 4 years ago
- A python-based crack detection and classification system using deep learning; used YOLO object detection algorithm. To extract the featur…☆20Updated 4 years ago
- This repo contains customized deep learning models for segmenting cracks.☆50Updated 3 years ago
- Training dataset for Crack Detection☆30Updated 6 years ago
- Structural damage detection using convolutional neural networks☆89Updated 6 years ago
- Built on python, this repository contains the code for crack detection in concrete surfaces.☆19Updated 5 years ago
- Convolutional Neural Network with TensorFlow Keras API for crack recognition in concrete surfaces.☆17Updated 5 years ago
- All in one cracks segmentation dataset()☆36Updated 6 years ago
- This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on m…☆174Updated 4 months ago
- 📅This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of Deep Learning-Based Crack…☆72Updated 2 months ago
- CrackDetection for both pavement and concrete meterials☆13Updated 5 years ago
- Matlab codes for concrete crack detection using TuFF☆13Updated 9 years ago
- Our industrial project is on 'Intelligent Road Crack Detection using Deep Learning' where we create an artificial intelligence (AI) syste…☆27Updated 4 years ago
- The project uses Unet-based improved networks to study road crack segmentation, which is based on keras.☆43Updated 5 years ago
- This repository focuses on the automation of blade inspection, using different Computer Vision (CV) approaches and methods to detect dama…☆31Updated 5 years ago
- Concrete crack detection for structural inspection.☆38Updated last year