Visionary vigilance: Optimized YOLOV8 for fallen person detection with large-scale benchmark dataset
Abstract: Highlights•Developed DiverseFALL10500: a comprehensive dataset with 10,500 annotated images.•Optimized YOLOv8s with focus module and CBAM integration for improved performance.•Demonstrated superiority over SOTA techniques through extensive empirical evaluation.
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