Models
YOLO26 vs. YOLOS

YOLO26 vs. YOLOS

Both YOLO26 and YOLOS are commonly used in computer vision projects. Below, we compare and contrast YOLO26 and YOLOS.

Models

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YOLO26

YOLO26 is a real-time, NMS-free YOLO model optimized for edge deployment, supporting multiple vision tasks across scalable model sizes.
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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
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
YOLO
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Transformer, YOLO
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Annotation Format
Instance Segmentation
Instance Segmentation
Framework
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PyTorch
GitHub Stars
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812+
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License
AGPL-3.0
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MIT
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Training Notebook

Compare YOLO26 and YOLOS with Autodistill

Compare YOLO26 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.