Visionary vigilance: Optimized YOLOV8 for fallen person detection with large-scale benchmark dataset
Summary
Visionary vigilance: Optimized YOLOV8 for fallen person detection with large-scale benchmark dataset is a scholarly article[1].
Key Facts
Visionary vigilance: Optimized YOLOV8 for fallen person detection with large-scale benchmark dataset's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Visionary vigilance: Optimized YOLOV8 for fallen person detection with large-scale benchmark dataset. Retrieved May 24, 2026, from https://4ort.xyz/entity/visionary-vigilance-optimized-yolov8-for-fallen-person-detection-with-large-scale-benchmark-dataset
MLA“Visionary vigilance: Optimized YOLOV8 for fallen person detection with large-scale benchmark dataset.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/visionary-vigilance-optimized-yolov8-for-fallen-person-detection-with-large-scale-benchmark-dataset.
BibTeX@misc{4ortxyz_visionary-vigilance-optimized-yolov8-for-fallen-person-detection-with-large-scale-benchmark-dataset_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Visionary vigilance: Optimized YOLOV8 for fallen person detection with large-scale benchmark dataset}}, year = {2026}, url = {https://4ort.xyz/entity/visionary-vigilance-optimized-yolov8-for-fallen-person-detection-with-large-scale-benchmark-dataset}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Visionary vigilance: Optimized YOLOV8 for fallen person detection with large-scale benchmark dataset — https://4ort.xyz/entity/visionary-vigilance-optimized-yolov8-for-fallen-person-detection-with-large-scale-benchmark-dataset (retrieved 2026-05-24)
