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MobileNet SSD v2 vs. Scaled-YOLOv4

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MobileNet SSD v2 vs. Scaled-YOLOv4

Both

MobileNet SSD v2

and

Scaled YOLOv4

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

MobileNet SSD v2

and

Scaled YOLOv4

.

  MobileNet SSD v2 Scaled YOLOv4
Date of Release Jan 13, 2018
Model Type Object Detection Object Detection
Architecture
GitHub Stars 1900 2000

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.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

Scaled YOLOv4

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix
Learn more about MobileNet SSD v2
Learn more about Scaled YOLOv4

Compare MobileNet SSD v2 to other models

YOLOv3 Keras
YOLOv3 PyTorch
YOLOv4 PyTorch
YOLOv4 Darknet
YOLOv4 Tiny

Compare Scaled YOLOv4 to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
MobileNet V2 Classification

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