Models

YOLOv8 vs. MobileNet V2 Classification

Both

YOLOv8

and

MobileNet V2 Classification

are commonly used in computer vision projects. Below, we compare and contrast

YOLOv8

and

MobileNet V2 Classification

.

YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.

MobileNet V2 Classification

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.

  YOLOv8 MobileNet V2 Classification
Date of Release Jan 10, 2023
Community Status Active
Model Type Object Detection Classification
Architecture YOLO, CNN
FPS
Framework Used PyTorch
Learn more about YOLOv8Learn more about MobileNet V2 Classification

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