Tags:Computer vision, Deep learning, Fire detection, Forest Fire detection and YOLOv8
Abstract:
Wildfires pose a significant threat, necessitating robust fire detection systems. Deep learning-based techniques, particularly those utilizing object detection models like YOLOv8, offer a promising alternative for fire and smoke detection. In this paper, we present a YOLOv8-based method for fire and smoke detection in images. We constructed a comprehensive dataset and trained a YOLOv8 model to achieve high accuracy in detecting fire and smoke. The results suggest the effectiveness of one of the recent models of YOLO.
Enhanced Fire and Smoke Detection with YOLOv8: a Significant Performance Boost