Fire Smoke Yolov8

--- license: agpl-3.0 tags: - ultralytics - yolov8 - object-detection - fire-detection - smoke-detection library_name: ultralytics pipeline_tag: object-detection --- # Early Fire and Smoke (YOLOv8) A YOLOv8n detector finetuned for **early domestic fire and smoke**: cooking, electrical, and cigarette scenarios. Part of the [Model Garden](https://github.com/computer-vision-with-marco) collection of finetuned computer-vision models. ## Classes `fire`, `smoke` ## Intended use Designed to pair with a temporal state machine that escalates through **clear, smoke present, early warning (growing smoke), fire confirmed**, so it alerts on persistent, growing smoke rather than a single noisy frame. ## Training - **Base:** YOLOv8n - **Data:** D-Fire + Domestic Fire and Smoke - **Runtime:** ~70 FPS on Apple Silicon (MPS) ## Usage ```python from ultralytics import YOLO model = YOLO("fire_smoke_yolov8.pt") results = model("your_video.mp4", stream=True) for r in results: r.plot() ``` ## Limitations Vision alone is never a life-safety system. This is a research tool, **not** a substitute for a certified smoke or fire detector.

Source context: 328 downloads · 1 likes · Pipeline object-detection · Library ultralytics · Repo mfranzon/fire-smoke-yolov8

Source context: 132 downloads · 1 likes · Pipeline object-detection · Library ultralytics · Repo mfranzon/fire-smoke-yolov8