Models
YOLOS vs. YOLOR

YOLOS vs. YOLOR

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

Models

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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.
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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.
Model Type
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
Transformer, 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
812+
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2k+
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License
MIT
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GPL-3.0
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Training Notebook

Compare YOLOS and YOLOR with Autodistill