High Speed Real-Time Object Detection Using YOLO-Based Deep Learning Models

Key Points

• Evaluate the effectiveness of YOLO-based deep learning models for real-time object detection in waste management knowledge dissemination.
• Analyzed YOLO-based deep learning models for speed and accuracy in object detection.
• Implemented teaching programs focusing on waste management for women.
• Conducted evaluations pre- and post-intervention to measure knowledge gains.
• Demonstrated improved object detection speeds using YOLO models.
• Increased waste management knowledge among participants after training programs.
• Highlighted effectiveness of deep learning in education and training contexts.

Abstract