Deep Learning Model for Crack Detection and Segmentation
☆163Jun 21, 2024Updated 2 years ago
Alternatives and similar repositories for surface-crack-detection
Users that are interested in surface-crack-detection are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Crack detection for an autonomous UAV☆14Jul 6, 2018Updated 8 years ago
- This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on m…☆200Dec 2, 2024Updated last year
- Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection☆271Feb 17, 2023Updated 3 years ago
- All my crack detection work on Matlab/Python☆15Dec 1, 2017Updated 8 years ago
- 📅This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of Deep Learning-Based Crack…☆107Feb 21, 2026Updated 5 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- U-Net variants to segment cracks in pavement☆14Sep 3, 2018Updated 7 years ago
- Concrete Crack Detection for Structural Audit☆32Mar 19, 2020Updated 6 years ago
- Use Keras to detect the pavement cracks in aerial images.☆45Aug 22, 2017Updated 8 years ago
- ☆417Feb 22, 2025Updated last year
- DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.☆309May 8, 2023Updated 3 years ago
- A convolutional neural network built using keras to detect cracks on road with 97.5% accuracy.☆47Jan 7, 2021Updated 5 years ago
- The Pytorch Implementation of Our Concrete Crack and Spall Detection☆26Sep 5, 2019Updated 6 years ago
- A Pytorch implementation of DeepCrack and RoadNet projects.☆306Dec 22, 2024Updated last year
- A minimalistic GUI for crack detection on concrete using deep learning☆10Jan 2, 2020Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A python-based crack detection and classification system using deep learning; used YOLO object detection algorithm. To extract the featur…☆23Jun 19, 2020Updated 6 years ago
- A specialized instance segmentation dataset for concrete crack detection using Keras Mask R-CNN with pixel-wise annotations for structura…☆32Mar 13, 2019Updated 7 years ago
- ☆24Nov 5, 2024Updated last year
- Python based application to detect and demarcate cracks in a photo of a concrete surface.☆10Jan 20, 2021Updated 5 years ago
- An application of CNN for crack detection using Caffe☆11Aug 11, 2020Updated 5 years ago
- ☆120Oct 30, 2020Updated 5 years ago
- ☆39Aug 8, 2019Updated 6 years ago
- Concrete crack detection for structural inspection.☆50Aug 8, 2023Updated 2 years ago
- Real time crack segmentation using PyTorch, OpenCV and ONNX runtime☆64Jul 16, 2022Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Measuring crack length and width in binary images☆13Oct 23, 2023Updated 2 years ago
- A Deep Residual U-Net like architecture for Crack segmentation in concrete structures.☆10Aug 19, 2020Updated 5 years ago
- Implementation of Improving the Efficiency of Encoder-Decoder Architecture for Pixel-level Crack Detection. keras with tensorflow backen…☆11Dec 19, 2019Updated 6 years ago
- All in one cracks segmentation dataset()☆40Feb 12, 2019Updated 7 years ago
- ☆367May 10, 2017Updated 9 years ago
- Crack detection algorithm using matlab Image processing☆10Oct 15, 2017Updated 8 years ago
- Simulation source code and examples for applying machine learning on Sawyer Robot☆11Dec 11, 2018Updated 7 years ago
- This project was undertaken as a part of evaluation process at Xcaliber Infotech while I was interviewing there☆13Sep 6, 2019Updated 6 years ago
- Code for the paper: "TB-Net: A Three-Stream Boundary-Aware Network for Fine-Grained Pavement Disease Segmentation"☆11Nov 10, 2020Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- This repo contains customized deep learning models for segmenting cracks.☆51Jul 9, 2021Updated 5 years ago
- Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance☆59Mar 14, 2020Updated 6 years ago
- CNN for crack classification, intended for use in a crack inspection pipeline (see references).☆41Sep 30, 2019Updated 6 years ago
- A ROS package for detecting and locating 3D objects☆10Jul 17, 2019Updated 7 years ago
- Fine-tuning Resnet-50 FPN based DNN for road crack detection on RDD2022☆17Dec 21, 2022Updated 3 years ago
- Deep learning model for classifying concrete images as with or without crack☆13May 10, 2020Updated 6 years ago
- ☆63Dec 18, 2017Updated 8 years ago