A Study on the Implementation of YOLOv4 Algorithm with Hyperparameter Tuning for Car Detection in Unmanned Aerial Vehicle Images
Muhammad Alfian Ramadhani,
Yufis Azhar,
Galih Wasis Wicaksono
Abstract:Unmanned Aerial Vehicles (UAVs) for surveillance and monitoring have become more prevalent due to their versatility and mobility. These vehicles capture highresolution images that provide a broad field of view in real-time. Today, enhancing object detection accuracy on images captured by unmanned aerial vehicles (UAVs) has become a significant challenge. Through extensive research, it has been established that the correct setup of hyperparameters is imperative to achieving the highest accuracy in machine learn… Show more
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