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

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

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

Compare MobileNet SSD v2 to other models

YOLOv3 Keras
YOLOv3 PyTorch
YOLOv4 PyTorch
YOLOv4 Darknet
YOLOv4 Tiny

Compare YOLOv4 Tiny to other models

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YOLOv7 Instance Segmentation
OneFormer
MobileNet V2 Classification

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