Deep Learning Model for Crack Detection and Segmentation
☆162Jun 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☆13Jul 6, 2018Updated 7 years ago
- This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on m…☆199Dec 2, 2024Updated last year
- Crack detection for concrete structure using Matlab☆33Jul 19, 2017Updated 8 years ago
- DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection☆362Oct 29, 2023Updated 2 years ago
- Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection☆269Feb 17, 2023Updated 3 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.
- All my crack detection work on Matlab/Python☆15Dec 1, 2017Updated 8 years ago
- U-Net variants to segment cracks in pavement☆14Sep 3, 2018Updated 7 years ago
- A Unet based modified architecture for crack detection☆50Aug 12, 2020Updated 5 years ago
- ☆17Dec 31, 2018Updated 7 years ago
- This is a Surface Crack Detection project implemented with the Tensorflow. We fine tuning some deep learning models (like VGG 19, VGG16, …☆11Nov 20, 2022Updated 3 years ago
- Use Keras to detect the pavement cracks in aerial images.☆44Aug 22, 2017Updated 8 years ago
- ☆414Feb 22, 2025Updated last year
- DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.☆303May 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
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Built on python, this repository contains the code for crack detection in concrete surfaces.☆19Jul 9, 2019Updated 6 years ago
- The Pytorch Implementation of Our Concrete Crack and Spall Detection☆26Sep 5, 2019Updated 6 years ago
- A minimalistic GUI for crack detection on concrete using deep learning☆10Jan 2, 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
- A python-based crack detection and classification system using deep learning; used YOLO object detection algorithm. To extract the featur…☆22Jun 19, 2020Updated 6 years ago
- ☆24Nov 5, 2024Updated last year
- Concrete crack detection for structural inspection.☆49Aug 8, 2023Updated 2 years ago
- The project uses Unet-based improved networks to study road crack segmentation, which is based on keras.☆45Oct 17, 2019Updated 6 years ago
- Python based application to detect and demarcate cracks in a photo of a concrete surface.☆10Jan 20, 2021Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆39Aug 8, 2019Updated 6 years ago
- The code is written in MATLAB, and a simple road surface crack marking is implemented.☆10Jun 3, 2017Updated 9 years ago
- Real time crack segmentation using PyTorch, OpenCV and ONNX runtime☆64Jul 16, 2022Updated 3 years ago