Models

MobileNet SSD v2 vs. YOLOv5

Both

MobileNet SSD v2

and

YOLOv5

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

MobileNet SSD v2

and

YOLOv5

.

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

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

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

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