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MobileNet SSD v2 vs. YOLOR

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MobileNet SSD v2 vs. YOLOR

Both

MobileNet SSD v2

and

YOLOR

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

MobileNet SSD v2

and

YOLOR

.

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

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

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
Learn more about MobileNet SSD v2
Learn more about YOLOR

Compare MobileNet SSD v2 to other models

YOLOv3 Keras
YOLOv3 PyTorch
YOLOv4 PyTorch
YOLOv4 Darknet
YOLOv4 Tiny

Compare YOLOR to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
MobileNet V2 Classification

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