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MobileNet SSD v2 vs. YOLOv3 PyTorch

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MobileNet SSD v2 vs. YOLOv3 PyTorch

Both

MobileNet SSD v2

and

YOLOv3 PyTorch

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

MobileNet SSD v2

and

YOLOv3 PyTorch

.

  MobileNet SSD v2 YOLOv3 PyTorch
Date of Release Jan 13, 2018 Apr 08, 2018
Model Type Object Detection Object Detection
Architecture YOLO
GitHub Stars 1900 6800

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

YOLOv3 PyTorch

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. PyTorch version.

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 YOLOv3 PyTorch

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