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The results of object detection using YOLOv5 are typically improved accuracy and speed compared to previous versions of the YOLO model. Specifically, YOLOv5 can detect smaller objects more accurately, has better generalization to new objects and scenes, and can operate at real-time speed on a CPU. Additionally, YOLOv5 has a smaller model size than previous versions of YOLO, making it easier to deploy on resource-limited devices.