Models
Scaled-YOLOv4 vs. YOLOR

Scaled-YOLOv4 vs. YOLOR

Both Scaled YOLOv4 and YOLOR are commonly used in computer vision projects. Below, we compare and contrast Scaled YOLOv4 and YOLOR.

Models

icon-model

Scaled YOLOv4

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.
Learn more about Scaled YOLOv4
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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
Model Type
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
YOLO
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CNN, 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 Scaled YOLOv4 and YOLOR with Autodistill

Models

Scaled-YOLOv4 vs. YOLOR

.

Both

Scaled YOLOv4

and

YOLOR

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

Scaled YOLOv4

and

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

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

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

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