fire-segmentation-yolo11n is an open-source YOLO11n instance segmentation model fine-tuned to detect fire with pixel-accurate masks. It enables developers to identify and segment fire regions in images for safety, monitoring, and automation use cases. The model is suitable for integration into computer vision pipelines.
Fire Segmentation Yolo11n is an Other AI product. It focuses on detecting and segmenting fire regions in images for safety and monitoring applications. It is built as an open-source project for computer vision developers. Fire Segmentation Yolo11n is open source under the Open Source license. It runs on the web, API, and the command line, and it can be self-hosted.
Behind Fire Segmentation Yolo11n is sreeharivp23, and the product first shipped in 2017. Development happens publicly on GitHub with 231 stars. Key capabilities include fire detection, instance segmentation, and pixel-accurate masks.
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