Models

YOLOR vs. MobileNet SSD v2

Both

YOLOR

and

MobileNet SSD v2

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

YOLOR

and

MobileNet SSD v2

.

  YOLOR MobileNet SSD v2
Date of Release May 10, 2021 Jan 13, 2018
Model Type Object Detection Object Detection
Architecture CNN, YOLO
GitHub Stars 1800 1900

YOLOR

YOLOR (You Only Learn One Representation) is an object detection model that uses both implicit and explicit knowledge to make predictions.

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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