vbrodrigues / Concrete-Crack-Classification-ModelLinks
Convolutional Neural Network with TensorFlow Keras API for crack recognition in concrete surfaces.
☆19Updated 6 years ago
Alternatives and similar repositories for Concrete-Crack-Classification-Model
Users that are interested in Concrete-Crack-Classification-Model are comparing it to the libraries listed below
Sorting:
- U-Net variants to segment cracks in pavement☆14Updated 7 years ago
- ☆18Updated 6 years ago
- 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
- A minimalistic GUI for crack detection on concrete using deep learning☆12Updated 5 years ago
- Matlab codes for concrete crack detection using TuFF☆13Updated 10 years ago
- Structural damage detection using convolutional neural networks☆89Updated 7 years ago
- Concrete Crack and Spalling Detection using Deep Neural Network☆88Updated 6 years ago
- Crack Detection On Highway Or Pavement Using OpenCV☆157Updated last year
- Eye Disease Classification using google images data☆14Updated 3 years ago
- The Pytorch Implementation of Our Concrete Crack and Spall Detection☆25Updated 6 years ago
- A CNN (Convolutional Neural Network) model to automatically classify images of building construction that show deficient work, with crack…☆17Updated 5 years ago
- ☆35Updated last year
- Deep Learning Model for Crack Detection and Segmentation☆162Updated last year
- This repo contains customized deep learning models for segmenting cracks.☆51Updated 4 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
- Use Keras to detect the pavement cracks in aerial images.☆44Updated 8 years ago
- Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning☆113Updated 5 years ago
- Automatic detection of defected solar panel modules☆141Updated 8 years ago
- BEST SCORE ON KAGGLE SO FAR , EVEN BETTER THAN THE KAGGLE TEAM MEMBER WHO DID BEST SO FAR. The project is about diagnosing pneumonia from…☆105Updated 2 years ago
- Automatic Defect Inspection with End-to-End Deep Learning☆32Updated 6 years ago
- Classify images, specifically document images like ID cards, application forms, and cheque leafs, using CNN and the Keras libraries.☆109Updated 2 years ago
- This is a deep learning model for detecting the potholes on roads. The model is using YOLO-v2.☆86Updated 2 years ago
- Measuring the size of objects in an image using Pixel per Metric ratio and openCV4.0 with imutils☆35Updated 6 years ago
- Crack detection for concrete structure using Matlab☆32Updated 8 years ago
- How to train an object detection model easy for free☆184Updated 3 years ago
- A convolutional neural network built using keras to detect cracks on road with 97.5% accuracy.☆46Updated 4 years ago
- Deep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStruct…☆105Updated 5 years ago
- All in one cracks segmentation dataset()☆39Updated 6 years ago
- The code is written in MATLAB, and a simple road surface crack marking is implemented.☆10Updated 8 years ago