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

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OneFormer

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

Compare OneFormer and YOLOS with Autodistill

Compare OneFormer vs. YOLOS

Provide your own image below to test YOLOv8 and YOLOv9 model checkpoints trained on the Microsoft COCO dataset.

COCO can detect 80 common objects, including cats, cell phones, and cars.