ralagesan / TurbineDefectDector
Wind Turbine Surface Damage Detection using Deep Learning Algorithm
☆11Updated 6 months ago
Alternatives and similar repositories for TurbineDefectDector:
Users that are interested in TurbineDefectDector are comparing it to the libraries listed below
- This repository focuses on the automation of blade inspection, using different Computer Vision (CV) approaches and methods to detect dama…☆31Updated 5 years ago
- Wind Turbine Blade Image Dateset☆11Updated 5 years ago
- Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance☆55Updated 4 years ago
- 📅This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of Deep Learning-Based Crack…☆61Updated 3 weeks ago
- This dataset contains over 3800 high-resolution images of surface defects on wind turbine blades with diverse and diverse backgrounds. Th…☆12Updated last year
- Python UNET implementation on the problem of concrete crack detection and critical width location☆21Updated 4 years ago
- Training dataset for Crack Detection☆27Updated 5 years ago
- Vehicle object detection & distance estimation using thermal imaging.☆31Updated 2 years ago
- Time-Series Forecasting on Stock Prices using LSTM☆14Updated last year
- A minimalistic GUI for crack detection on concrete using deep learning☆11Updated 5 years ago
- Pavement surface crack datasets for DL based crack detection☆59Updated 2 years ago
- Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow☆260Updated 3 years ago
- Learn how to train a custom instance segmentation model with Detectron2☆99Updated 3 years ago
- Our industrial project is on 'Intelligent Road Crack Detection using Deep Learning' where we create an artificial intelligence (AI) syste…☆24Updated 4 years ago
- Crack Detection On Highway Or Pavement Using OpenCV☆134Updated 5 months ago
- This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on m…☆160Updated 2 months ago
- ☆99Updated last year
- ☆16Updated 6 years ago
- ☆12Updated 4 years ago
- Automatic detection of defected solar panel modules☆126Updated 7 years ago
- A convolutional neural network built using keras to detect cracks on road with 97.5% accuracy.☆42Updated 4 years ago
- Fine-tuning Resnet-50 FPN based DNN for road crack detection on RDD2022☆12Updated 2 years ago
- The project uses Unet-based improved networks to study road crack segmentation, which is based on keras.☆43Updated 5 years ago
- label file converter: xml to yolo☆73Updated 4 years ago
- ☆120Updated 4 years ago
- Deep Learning applied to predictive maintenance use cases☆34Updated 4 years ago
- 采用 Mask R-CNN 算法模型进行目标检测,使用 Deep SORT 目标跟踪算法运动轨迹。☆38Updated 4 years ago
- Modification of YOLOv3(Keras) for object distance estimation☆14Updated 4 years ago
- Concrete Crack and Spalling Detection using Deep Neural Network☆72Updated 6 years ago