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Multi‑Scene Fire and Smoke Detection Benchmark (MS‑FSDB) is a comprehensive and fine‑grained fire and smoke detection benchmark created by Zhejiang University. The dataset contains 12,586 images depicting 2,731 scenes, comprising 3,603 positive samples and 8,983 negative samples. The creation process involved systematic collection of diverse resources from public sources, followed by scene expansion and re‑annotation to ensure data accuracy and consistency. MS‑FSDB includes not only flame detection but also smoke detection tasks, applicable to various complex indoor and outdoor scenarios, and aims to provide strong support for breakthroughs and development in fire detection technology.
