By changing the CSPDarknet53 backbone of YOLOv5s with ViT, the design will be able to capture equally local and worldwide dependencies in visuals, resulting in a lot more exact detection of fire and smoke under tough circumstances. We evaluate the effectiveness from the proposed design working with a comprehensive Fire and Smoke Detection Dataset,

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