Models
YOLOR vs. YOLOv4 PyTorch

YOLOR vs. YOLOv4 PyTorch

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

Models

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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
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YOLOv4 PyTorch

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 PyTorch.
Learn more about YOLOv4 PyTorch
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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4.4k+
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License
GPL-3.0
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Apache-2.0
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Training Notebook

Compare YOLOR and YOLOv4 PyTorch with Autodistill

Models

YOLOR vs. YOLOv4 PyTorch

.

Both

YOLOR

and

YOLOv4 PyTorch

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

YOLOR

and

YOLOv4 PyTorch
  YOLOR YOLOv4 PyTorch
Date of Release May 10, 2021
Model Type Object Detection Object Detection
Architecture CNN, YOLO YOLO
GitHub Stars 2000 4400

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

YOLOv4 PyTorch

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 PyTorch.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

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