Detection of Animals and humans in forest fires using Yolov8

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dc.contributor.authorAlsamurai, Mustafa Qays Fadhil
dc.contributor.authorÇevik, Mesut
dc.date.accessioned2024-08-05T08:09:13Z
dc.date.available2024-08-05T08:09:13Z
dc.date.issued2024en_US
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalıen_US
dc.description.abstract- The study uses the YOLOv8 deep learning algorithm to detect fire, smoke, humans, and animals in outdoor images. The importance of forests in protecting the biosphere is emphasized, and forest fires are identified as a major risk to the environment and living beings. The researchers created a custom dataset of outdoor images and manually annotated them. The YOLOv8 model was trained on this dataset, and its overall performance was evaluated, with varying results for different object classes. The study identified areas for improvement in the model's ability to detect small instances of fire and smoke and differentiate between animals and humans. The impact of image quality on the model's performance was also highlighted. Overall, the study provides a comprehensive evaluation of YOLOv8's performance in detecting outdoor objects and identifies areas for improvement.en_US
dc.identifier.citationAlsamurai, M. Q. F., Çevik, M. (2024). Detection of Animals and humans in forest fires using Yolov8. Journal of Electrical Systems, 20(9-SI), 831-843.en_US
dc.identifier.endpage843en_US
dc.identifier.issn1112-5209
dc.identifier.issue9en_US
dc.identifier.startpage831en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/4786
dc.identifier.volume20en_US
dc.institutionauthorAlsamurai, Mustafa Qays Fadhil
dc.institutionauthorÇevik, Mesut
dc.language.isoen
dc.relation.ispartofJournal of Electrical Systems
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - İdari Personel ve Öğrencien_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectForest firesen_US
dc.subjectYOLOv8en_US
dc.subjectDeep learning algorithmen_US
dc.subjectObject detectionen_US
dc.subjectPerformance evaluationen_US
dc.titleDetection of Animals and humans in forest fires using Yolov8
dc.typeArticle

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