Enhancing the YOLOv8 model for realtime object detection to ensure online platform safety

Enhancing the YOLOv8 model for realtime object detection to ensure online platform safety

Abstract In today’s digital environment, effectively detecting and censoring harmful and offensive objects such as weapons, addictive substances, and violent content on online platforms is increasingly important for user safety. This study introduces an Enhanced Object Detection (EOD) model that bui...

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Bibliographic Details
Main Authors: Mohammed Kawser Jahan, Fokrul Islam Bhuiyan, Al Amin, M. F. Mridha, Mejdl Safran, Sultan Alfarhood, Dunren Che
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Harmful object detection
Visual censorship systems
Graphic violence
Insulting gesture
YOLOv8
Online Access:https://doi.org/10.1038/s41598-025-08413-4
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