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YOLOv8 Forest Fire Detection via UAVs by uukun060 is a document available to read on EtoBox.

This paper presents a forest fire detection system utilizing YOLOv8 algorithms applied to images captured by UAVs. The study compares the performance of YOLOv8, YOLOv7, and YOLOv5, concluding that YOLOv8 offers the best accuracy and speed for detecting forest fires. The proposed system aims to enhance the efficiency of fire detection and expedite rescue operations through real-time image processing and analysis.

Author
uukun060
Language
EN