Lightweight Forest Fire Detection Based on Deep Learning

Forest fire detection is a challenging problem in computer vision. In this paper, we build a challenging fire dataset which contains images of fire, smoke, and red leaf to better simulate the real forest environment. We propose a lightweight network structure, YOLOv4-Light, for forest fire detection. The original YOLOv4's backbone feature extraction network is replaced by MobileNet, and PANet's st...