QinganZhao / Deep-Learning-Based-Structural-Damage-Detection
Structural damage detection using convolutional neural networks
☆89Updated 6 years ago
Alternatives and similar repositories for Deep-Learning-Based-Structural-Damage-Detection:
Users that are interested in Deep-Learning-Based-Structural-Damage-Detection are comparing it to the libraries listed below
- Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning☆112Updated 4 years ago
- Implementation of Improving the Efficiency of Encoder-Decoder Architecture for Pixel-level Crack Detection. keras with tensorflow backen…☆11Updated 5 years ago
- Introduces an approach for object detection in an image with sliding window. The repository contains three files, make_data.py reads the …☆56Updated 5 years ago
- Concrete Crack Detection for Structural Audit☆30Updated 4 years ago
- Visual inspection of bridges is customarily used to identify and evaluate faults. However, current procedures followed by human inspector…☆21Updated 5 years ago
- Convert any classification model or architecture trained in keras to an object detection model☆30Updated 6 years ago
- Visual Defect Detection on Boiler Water Wall Tube Using Small Dataset☆124Updated 8 months ago
- Quickly explore how different deep learning systems work with your data☆42Updated 6 years ago
- Few of the essential image augmentation techniques.☆47Updated 7 years ago
- Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance☆55Updated 4 years ago
- A convolutional neural network built using keras to detect cracks on road with 97.5% accuracy.☆43Updated 4 years ago
- U-Net variants to segment cracks in pavement☆14Updated 6 years ago
- Python scripts using scikit-image and scikit-learn to cluster images.☆31Updated 4 years ago
- ☆107Updated 5 years ago
- ☆31Updated 9 months ago
- ☆28Updated 5 years ago
- Learn how to visualize your own image data or features on Tensorboard Embedding Visualizer☆97Updated 3 years ago
- Detect voids in grocery store shelves.☆57Updated 7 years ago
- Matlab codes for concrete crack detection using TuFF☆13Updated 9 years ago
- IDV Segmentation Example This is an example showing the use of Mask RCNN in a real application. We train the model to detect Idly Vada Do…☆10Updated 6 years ago
- Recognition of sequence of digits using tensorflow☆37Updated 7 years ago
- Use 3D convolutional network to predict the speed of a car via dashcam stream. The final mean squared error on validation set is 3.1 (mil…☆40Updated 7 years ago
- A sample project to build a custom Mask RCNN model using Tensorflow object detection API☆71Updated 11 months ago
- This project modify tensorflow object detection api code to predict oriented bounding boxes. It can be used for scene text detection.☆29Updated 6 years ago
- Convolutional Neural Network with TensorFlow Keras API for crack recognition in concrete surfaces.☆17Updated 5 years ago
- Object localization in images using simple CNNs and Keras☆137Updated 5 years ago
- CNN for crack classification, intended for use in a crack inspection pipeline (see references).☆40Updated 5 years ago
- ☆16Updated 6 years ago
- Crack detection for concrete structure using Matlab☆32Updated 7 years ago
- A minimalistic GUI for crack detection on concrete using deep learning☆12Updated 5 years ago