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All Journal ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika
DARIELE ZEBADA SANUWU GEA
Telkom University
Electrical & Electronics Engineering Engineering

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Comparative Analysis of YOLOv8 and YOLOv11 for Wildlife Detection in Natural Habitats FELIX CORPUTTY; AHMAD SULTHON JAUHARI; DARIELE ZEBADA SANUWU GEA; IVAN FEBRIANTO LALO; RIFKI RAHMAN NUR IKHSAN; ADE ADITYA RAMADHA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 14, No 3: Published July 2026
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v14i3.288

Abstract

Wildlife monitoring in natural habitats remains difficult due to occlusion, camouflage, and varying illumination, which limit the performance of conventional object detection systems. Although recent YOLO-based models have shown strong potential, systematic comparisons between newer architectures in real ecological environments are still limited. This study evaluates YOLOv8 and YOLOv11 using 6,165 images from 14 wildlife classes collected at Taman Buru Gunung Masigit Kareumbi, with data augmentation applied to improve robustness. Performance is evaluated using a quantitative comparative approach based on precision, recall, mAP 0.5, and mAP 0.5:0.95. The results indicate that YOLOv11 achieves higher detection accuracy with an mAP 0.5:0.95 of 0.894.
Co-Authors ADE ADITYA RAMADHA AHMAD SULTHON JAUHARI Felix Corputty IVAN FEBRIANTO LALO RIFKI RAHMAN NUR IKHSAN