The fire Diaries

By replacing the CSPDarknet53 backbone of YOLOv5s with ViT, the product is able to capture the two nearby and global dependencies in images, causing a lot more accurate detection of fire and smoke less than demanding situations. We Examine the effectiveness in the proposed product employing a comprehensive Fire and Smoke Detection Dataset, which in

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