beric7 / corrosion_cs_classification
corrosion condition state classification for bridge inspections
☆20Updated last year
Related projects ⓘ
Alternatives and complementary repositories for corrosion_cs_classification
- This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Ti…☆375Updated 6 months ago
- All in one cracks segmentation dataset()☆35Updated 5 years ago
- Collection of works in my PhD at Virginia Tech, mostly focused on computer vision and machine learning applications in structural inspect…☆46Updated 9 months ago
- DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.☆221Updated last year
- Real time crack segmentation using PyTorch, OpenCV and ONNX runtime☆60Updated 2 years ago
- This repo contains customized deep learning models for segmenting cracks.☆50Updated 3 years ago
- Structural damage detection using convolutional neural networks☆86Updated 6 years ago
- ☆40Updated 4 years ago
- Crack Detection On Highway Or Pavement Using OpenCV☆124Updated 2 months ago
- Concrete Crack Detection for Structural Audit☆29Updated 4 years ago
- This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on m…☆154Updated 11 months ago
- Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance☆54Updated 4 years ago
- Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection☆182Updated last year
- U-Net variants to segment cracks in pavement☆13Updated 6 years ago
- ☆17Updated 2 years ago
- ☆300Updated 7 years ago
- Implementation of Improving the Efficiency of Encoder-Decoder Architecture for Pixel-level Crack Detection. keras with tensorflow backen…☆10Updated 4 years ago
- ☆342Updated 5 months ago
- Concrete crack detection for structural inspection.☆31Updated last year
- Deep learning for automated corrosion detection☆30Updated 3 years ago
- In this repository, we present an Semantic Segmentation code, based on U-net architecture, that is used for the topographic characterizat…☆15Updated 3 years ago
- Tutorial on fine tuning DeepLabv3 segmentation network for your own segmentation task in PyTorch.☆162Updated last year
- Concrete Crack and Spalling Detection using Deep Neural Network☆70Updated 5 years ago
- Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning☆111Updated 4 years ago
- Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available☆63Updated 5 years ago
- Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow☆37Updated 5 years ago
- Semantic Segmentation using Tensorflow on popular Datasets like Ade20k, Camvid, Coco, PascalVoc☆69Updated last year
- DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection☆252Updated last year
- Real time instance segmentation with Mask R-CNN, live from webcam feed.☆56Updated 5 years ago
- A Pytorch implementation of DeepCrack and RoadNet projects.☆264Updated last year
- The project uses Unet-based improved networks to study road crack segmentation, which is based on keras.☆43Updated 5 years ago