Fire-Detection-Using-YOLOV8

Fire detection using YOLOv8 involves utilizing a state-of-the-art object detection model to accurately identify fire in images or video feeds in real-time, leveraging its advanced capabilities to enhance early warning systems.

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Jupyter Notebook Language

mit License

53.9 SrcLog Score

Cost to Build

$72.0K

Market Value

$32.5K

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Growth over time

3 data points · 2026-04-09 → 2026-04-24

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What is the faseeh41/Fire-Detection-Using-YOLOV8 GitHub project? Description: "Fire detection using YOLOv8 involves utilizing a state-of-the-art object detection model to accurately identify fire in images or video feeds in real-time, leveraging its advanced capabilities to enhance early warning systems.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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