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MobileNet SSD v2 vs. YOLOv4 Tiny

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MobileNet SSD v2 vs. YOLOv4 Tiny

Both

MobileNet SSD v2

and

YOLOv4 Tiny

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

MobileNet SSD v2

and

YOLOv4 Tiny

.

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.

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

  MobileNet SSD v2 YOLOv4 Tiny
Date of Release Jan 13, 2018 Nov 09, 2020
Community Status
Model Type Object Detection Object Detection
Architecture ResNet-D, YOLO
FPS 34
Framework Used TensorFlow 1.5 Darknet
Learn more about MobileNet SSD v2Learn more about YOLOv4 Tiny

Compare MobileNet SSD v2 to other models

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YOLOv4 Tiny

Compare YOLOv4 Tiny to other models

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