Models

YOLOv8 vs. MobileNet SSD v2

Both

YOLOv8

and

MobileNet SSD v2

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

YOLOv8

and

MobileNet SSD v2

.

YOLOv8

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

MobileNet SSD v2

This architecture provides good realtime results on limited compute. It's designed to run in realtime (30 frames per second) even on mobile devices.

  YOLOv8 MobileNet SSD v2
Date of Release Jan 10, 2023 Jan 13, 2018
Community Status Active
Model Type Object Detection Object Detection
Architecture YOLO, CNN
FPS
Framework Used PyTorch TensorFlow 1.5
Learn more about YOLOv8Learn more about MobileNet SSD v2

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