Models
OneFormer vs. YOLOS

OneFormer vs. YOLOS

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

Models

icon-model

OneFormer

OneFormer is a state-of-the-art multi-task image segmentation framework that is implemented using transformers.
Learn more about OneFormer
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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.
Learn more about YOLOS
Model Type
Instance Segmentation
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
Transformers
--
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
1.3k+
--
812+
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License
MIT
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MIT
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Training Notebook

Compare OneFormer and YOLOS with Autodistill

Models

OneFormer vs. YOLOS

.

Both

OneFormer

and

YOLOS

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

OneFormer

and

YOLOS
  OneFormer YOLOS
Date of Release Nov 10, 2022 Jun 01, 2021
Model Type Instance Segmentation Object Detection
Architecture Transformers Transformer, YOLO
GitHub Stars 1300 812

OneFormer

OneFormer is a state-of-the-art multi-task image segmentation framework that is implemented using transformers.

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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