Models

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

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

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

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