By replacing the CSPDarknet53 spine of YOLOv5s with ViT, the model can seize both neighborhood and world dependencies in visuals, causing much more precise detection of fire and smoke less than hard disorders. We Assess the effectiveness of the proposed design working with an extensive Fire and Smoke Detection Dataset, which includes varied authent
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