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YOLOR vs. Scaled-YOLOv4

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YOLOR vs. Scaled-YOLOv4

Both

YOLOR

and

Scaled YOLOv4

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

YOLOR

and

Scaled YOLOv4

.

  YOLOR Scaled YOLOv4
Date of Release May 10, 2021
Model Type Object Detection Object Detection
Architecture CNN, YOLO
GitHub Stars 1800 2000

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

Scaled YOLOv4

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix
Learn more about YOLOR
Learn more about Scaled YOLOv4

Compare YOLOR to other models

MobileNet V2 Classification
MobileNet SSD v2
YOLOv3 Keras
YOLOv3 PyTorch
YOLOv4 PyTorch

Compare Scaled YOLOv4 to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
MobileNet V2 Classification

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