Performance Benchmarking of YOLOv11, YOLOv12, and YOLOv26 for Real-Time Fire Detection
Fire is a devastating event that causes significant losses. Therefore, an early fire detection system that can work accurately and quickly is urgently needed. As computer vision technology advances, deep learning-based object detection methods are increasingly being used for real-time fire detection. The purpose of thi...