Sarthakdtu / Road-Cracks-Detection-Neural-Network-Links
A convolutional neural network built using keras to detect cracks on road with 97.5% accuracy.
☆46Updated 4 years ago
Alternatives and similar repositories for Road-Cracks-Detection-Neural-Network-
Users that are interested in Road-Cracks-Detection-Neural-Network- are comparing it to the libraries listed below
Sorting:
- Crack Detection On Highway Or Pavement Using OpenCV☆157Updated last year
- Real time crack segmentation using PyTorch, OpenCV and ONNX runtime☆64Updated 3 years ago
- CNN for crack classification, intended for use in a crack inspection pipeline (see references).☆41Updated 6 years ago
- Deep Learning Model for Crack Detection and Segmentation☆162Updated last year
- Concrete Crack and Spalling Detection using Deep Neural Network☆88Updated 6 years ago
- Visual inspection of bridges is customarily used to identify and evaluate faults. However, current procedures followed by human inspector…☆21Updated 6 years ago
- Crack detection for concrete structure using Matlab☆32Updated 8 years ago
- CrackDetection for both pavement and concrete meterials☆15Updated 5 years ago
- The project uses Unet-based improved networks to study road crack segmentation, which is based on keras.☆44Updated 6 years ago
- A minimalistic GUI for crack detection on concrete using deep learning☆12Updated 5 years ago
- U-Net variants to segment cracks in pavement☆14Updated 7 years ago
- Our industrial project is on 'Intelligent Road Crack Detection using Deep Learning' where we create an artificial intelligence (AI) syste…☆30Updated 5 years 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
- Implementation of Improving the Efficiency of Encoder-Decoder Architecture for Pixel-level Crack Detection. keras with tensorflow backen…☆11Updated 5 years ago
- This repo contains customized deep learning models for segmenting cracks.☆50Updated 4 years ago
- This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on m…☆189Updated 11 months ago
- ☆18Updated 6 years ago
- Python UNET implementation on the problem of concrete crack detection and critical width location☆23Updated 4 years ago
- The Pytorch Implementation of Our Concrete Crack and Spall Detection☆24Updated 6 years ago
- Matlab codes for concrete crack detection using TuFF☆13Updated 10 years ago
- DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.☆264Updated 2 years ago
- 📅This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of Deep Learning-Based Crack…☆92Updated 9 months ago
- Detect and track vehicles and pedestrian from UAV videos☆27Updated 6 years ago
- Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection☆244Updated 2 years ago
- A Unet based modified architecture for crack detection☆48Updated 5 years ago
- A Pytorch implementation of DeepCrack and RoadNet projects.☆295Updated 10 months ago
- ☆42Updated 5 years ago
- Concrete Crack Detection for Structural Audit☆31Updated 5 years ago
- Training dataset for Crack Detection☆31Updated 6 years ago
- Keeping roads in a good condition is vital to safe driving. To monitor the degradation of road conditions is one of the important compone…☆23Updated 7 years ago