memari-majid/Wind-Turbine-Blade-Defect-Detection-with-YOLO-Models
Defect Detection with YOLO Family Models
This project helps wind turbine operators and maintenance teams automatically identify critical defects on turbine blades from high-resolution inspection images. It takes raw images of wind turbine blades as input and outputs precise locations and classifications of various blade defects, including very small and subtle ones. The primary users are field technicians, inspection engineers, and asset managers responsible for wind farm maintenance.
No commits in the last 6 months.
Use this if you need to automate and improve the accuracy of wind turbine blade defect detection, especially for small and hard-to-spot imperfections that are critical for timely maintenance.
Not ideal if you are looking for a general-purpose object detection tool for other industries or if your primary concern is real-time, extremely low-latency detection on limited computational resources.
Stars
13
Forks
3
Language
Python
License
MIT
Category
Last pushed
Nov 14, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/memari-majid/Wind-Turbine-Blade-Defect-Detection-with-YOLO-Models"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Charmve/Surface-Defect-Detection
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field...
aviralchharia/Surface-Defect-Detection-in-Hot-Rolled-Steel-Strips
This project aims to automatically detect surface defects in Hot-Rolled Steel Strips such as...
PanithanS/Wafers-Defect-Recognition-using-Visual-Transformer
We use MixedWM38, the mixed-type wafer defect pattern dataset for wafer defect pattern...
hafidh561/steel-defect-detection
Steel defect detection is a function of segmentation of defect area in steel surfaces using a camera
cosminpm/bottle-caps-backend
Detection and dentification of bottle caps.