Models
YOLOS vs. SegFormer

YOLOS vs. SegFormer

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

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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SegFormer

SegFormer is a computer vision framework used in semantic segmentation tasks, implemented with transformers.
Model Type
Object Detection
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Semantic Segmentation
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Model Features
Item 1 Info
Item 2 Info
Architecture
Transformer, YOLO
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Transformers
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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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2.2k+
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License
MIT
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NVIDIA Source Code
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Training Notebook

Compare YOLOS and SegFormer with Autodistill

Compare YOLOS vs. SegFormer

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.