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YOLOv4 Tiny vs. MobileNet SSD v2

YOLOv4 Tiny vs. MobileNet SSD v2

Both

YOLOv4 Tiny

and

MobileNet SSD v2

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

YOLOv4 Tiny

and

MobileNet SSD v2

.

	YOLOv4 Tiny	MobileNet SSD v2
Date of Release	Nov 09, 2020	Jan 13, 2018
Model Type	Object Detection	Object Detection
Architecture	ResNet-D, YOLO
GitHub Stars		1900

YOLOv4 Tiny

The tiny and fast version of YOLOv4 - good for training and deployment on limited compute resources, and getting a feel for your dataset

How to Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

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 Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

Learn more about YOLOv4 Tiny

Learn more about MobileNet SSD v2

Compare YOLOv4 Tiny to other models

MobileNet V2 Classification

MobileNet SSD v2

Compare MobileNet SSD v2 to other models

YOLOv8 Instance Segmentation

YOLOv7 Instance Segmentation

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