Correction: Qie et al. Underwater Objective Detection Algorithm Based on YOLOv8-Improved Multimodality Image Fusion Technology. Machines 2025, 13, 982

Key Points

• The research aims to improve underwater object detection using an advanced algorithm combining YOLOv8 with image fusion techniques.
• Application of YOLOv8 algorithm for detection tasks.
• Integration of multimodal image data to enhance detection capabilities.
• Evaluation of algorithm performance in various underwater conditions.
• Demonstrates improved accuracy in detecting underwater objects compared to traditional methods.
• Highlights reduction in false positives and negatives in detection.
• Provides evidence of enhanced robustness across different underwater scenarios.