Models
YOLOv4 vs. YOLOR

YOLOv4 vs. YOLOR

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

Models

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YOLOv4 Darknet

YOLOv4 has emerged as the best real time object detection model. YOLOv4 carries forward many of the research contributions of the YOLO family of models along with new modeling and data augmentation techniques. This implementation is in Darknet.
Learn more about YOLOv4 Darknet
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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
Darknet
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
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2k+
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License
YOLO
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GPL-3.0
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Training Notebook

Compare YOLOv4 Darknet and YOLOR with Autodistill

Models

YOLOv4 vs. YOLOR

.

Both

YOLOv4 Darknet

and

YOLOR

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

YOLOv4 Darknet

and

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

YOLOv4 Darknet

YOLOv4 has emerged as the best real time object detection model. YOLOv4 carries forward many of the research contributions of the YOLO family of models along with new modeling and data augmentation techniques. This implementation is in Darknet.

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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