Real-time detection method of intelligent classification and defect of transmission line insulator based on LightWeight-YOLOv8n network
To address the difficulty in distinguishing different types of insulators in transmission lines and the need for intelligent identification of insulator defects, a real-time detection method for intelligent classification and defect identification ...
Enhanced underwater object detection with YOLO-LDFE: a model for improved accuracy with balanced efficiency
In underwater image analysis, challenges such as complex environments, low model performance, and slow processing efficiency hinder effective object detection, which is crucial for real-time monitoring. To address these issues, we propose a high-...
ESF-DETR: a real-time and high-precision detection model for cigarette appearance
The quality of cigarettes is greatly affected by appearance defects. Achieving automatic detection of these defects with high precision and speed has been a critical concern for cigarette factories. To meet the needs of manufacturers in detecting ...
Lightweight outdoor drowning detection based on improved YOLOv8
Despite abundant global water resources, drowning remains one of the complex challenges to tackle worldwide. To solve the problem of complicated outdoor remote water environments, where people in the water have different morphologies and scale ...