Advancing Real-Time Camouflaged Object Detection with YOLOv8

This paper presents advanced techniques for detecting camouflaged objects in real-time using the YOLOv8 model. It addresses the complexities and challenges of detecting objects that are designed to blend into their environments, with applications in military, wildlife conservation, and surveillance.

Recommended citation: S.M. Hussain, Afsah Hyder, Samiya Ali Zaidi, S.M. Ali Rizvi, Dr. Muhammad Farhan. (2024). "Advancing Real-Time Camouflaged Object Detection with YOLOv8." 2024 6th International Conference on Advances in Computer Vision, Image, and Virtualization.
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