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This project focuses on developing a skip module for detecting fire and smoke in videos, likely aimed at improving efficiency in real-time monitoring systems. It is designed for researchers or developers working on video-based fire and smoke detection, particularly those interested in optimizing detection algorithms for speed and accuracy.
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