Models
YOLOR vs. YOLOS

YOLOR vs. YOLOS

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

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

YOLOS

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.
Learn more about YOLOS
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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Transformer, 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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812+
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License
GPL-3.0
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MIT
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Training Notebook

Compare YOLOR and YOLOS with Autodistill

Models

YOLOR vs. YOLOS

.

Both

YOLOR

and

YOLOS

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

YOLOR

and

YOLOS
  YOLOR YOLOS
Date of Release May 10, 2021 Jun 01, 2021
Model Type Object Detection Object Detection
Architecture CNN, YOLO Transformer, YOLO
GitHub Stars 2000 812

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

YOLOS

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.

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

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