Models
SegFormer vs. YOLOS

SegFormer vs. YOLOS

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

Models

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SegFormer

SegFormer is a computer vision framework used in semantic segmentation tasks, implemented with 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
Semantic 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
2.2k+
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812+
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License
NVIDIA Source Code
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MIT
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Training Notebook

Compare SegFormer and YOLOS with Autodistill

Compare SegFormer 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.