Performance Analysis of Support Vector Machine (SVM) on Challenging Datasets for Forest Fire Detection

arXiv:2401.12924v2 Announce Type: replace-cross
Abstract: This article delves into the analysis of performance and utilization of Support Vector Machines (SVMs) for the critical task of forest fire detection using image datasets. With the increasing threat of forest fires to ecosystems and human settlements, the need for rapid and accurate detection systems is of utmost importance. SVMs, renowned for their strong classification capabilities, exhibit proficiency in recognizing patterns associated with fire within images. By training on labeled data, SVMs acquire the …

abstract analysis article arxiv cs.lg datasets detection ecosystems fire forest fires human image image datasets machine machines performance performance analysis stat.me stat.ml support support vector machines svm threat type vector