zhaowenhai2023 / Wind-turbine-blade-surface-defect-datasetLinks
This dataset contains over 3800 high-resolution images of surface defects on wind turbine blades with diverse and diverse backgrounds. The dataset is generated by fusing StyleGAN3 deep learning model and PBGM method, and the generated leaf dataset can be used for vision based defect recognition training.
☆17Updated last year
Alternatives and similar repositories for Wind-turbine-blade-surface-defect-dataset
Users that are interested in Wind-turbine-blade-surface-defect-dataset are comparing it to the libraries listed below
Sorting:
- Foggy Insulator Network, Dataset and Code. Improved object detection network, synthetic fog, data augmentation, channel attention mechani…☆112Updated last year
- This repository contains annotation files for an openly available drone captured dataset of wind turbine blades.☆13Updated last month
- NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite☆161Updated 9 months ago
- Pavement surface crack datasets for DL based crack detection☆61Updated 3 years ago
- This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.☆121Updated 4 years ago
- This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on m…☆189Updated 11 months ago
- HRSC数据集转DOTA转YOLO v8,以及对应的显示标注框的简易UI☆15Updated last year
- Small Object Detection Algorithm Incorporating Swin Transformer for Tea Buds☆286Updated last year
- Photovoltaic cell defect detection☆116Updated 7 months ago
- ☆48Updated 2 years ago
- Multispectral Object Detection with Yolov5 and Transformer☆430Updated last year
- STN PLAD: A Dataset for Multi-Size Power Line Assets Detection in High-Resolution UAV Images☆74Updated 3 years ago
- ☆263Updated this week
- DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection☆315Updated 2 years ago
- Unifying Public Datasets for Insulator Detectionand Fault Classification in Electrical Power Lines☆90Updated 5 years ago
- MPID : an open-source insulator dataset for UAV inspection of power lines through computer vision☆28Updated 2 years ago
- ☆26Updated 4 years ago
- Use visible and infrared images to train the network. This method is better to face the dark environment.☆117Updated 2 years ago
- ☆189Updated 11 months ago
- Real-time High-Resolution Neural Network with Semantic Guidance for Crack Segmentation☆63Updated 11 months ago
- ☆54Updated 11 months ago
- ICAFusion: Iterative Cross-Attention Guided Feature Fusion for Multispectral Object Detection, Pattern Recognition☆213Updated last week
- A dataset of functional and defective solar cells extracted from EL images of solar modules☆280Updated last week
- Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection☆241Updated 2 years ago
- PTL-AI Furnas Dataset: A Public Dataset for Fault Detection in Power Transmission Lines Using Aerial Images☆20Updated 2 years ago
- Road crack detection project based on NestedUnet model☆22Updated 3 years ago
- ☆98Updated 6 months ago
- ☆49Updated last year
- COCO JSON 格式 和YOLO 相互转化的代码,包含YOLO2JSON 和JSON2YOLO,在很多数据集上测试有效。☆14Updated last year
- Provide normal insulator images captured by UAVs and synthetic defective insulator images.☆302Updated 6 years ago