Models
YOLOR vs. Scaled-YOLOv4

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.

Models

icon-model

YOLOR

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

Scaled YOLOv4

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.
Learn more about Scaled YOLOv4
Model Type
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
CNN, YOLO
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YOLO
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Frameworks
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
2k+
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2k+
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License
GPL-3.0
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GPL-3.0
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Training Notebook

Compare YOLOR and Scaled YOLOv4 with Autodistill

Models

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 YOLO
GitHub Stars 2000 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

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