Models

YOLOv5 vs. MobileNet SSD v2

Both

YOLOv5

and

MobileNet SSD v2

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

YOLOv5

and

MobileNet SSD v2

.

  YOLOv5 MobileNet SSD v2
Date of Release Jan 06, 2020 Jan 13, 2018
Model Type Object Detection Object Detection
Architecture CNN, YOLO
GitHub Stars 33200 1900

YOLOv5

A very fast and easy to use PyTorch model that achieves state of the art (or near state of the art) results.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow 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 AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

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