Both YOLOv8 and MobileNet V2 Classification are commonly used in computer vision projects. Below, we compare and contrast YOLOv8 and MobileNet V2 Classification.
Models
YOLOv8
YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.
MobileNet is a GoogleAI model well-suited for on-device, real-time classification (distinct from MobileNetSSD, Single Shot Detector). This implementation leverages transfer learning from ImageNet to your dataset.
