Models
YOLOv11 vs. YOLOS

YOLOv11 vs. YOLOS

Both YOLO11 and YOLOS are commonly used in computer vision projects. Below, we compare and contrast YOLO11 and YOLOS.

Models

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YOLO11

YOLO11 is a computer vision model that you can use for object detection, segmentation, and classification.
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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
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Transformer, YOLO
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Frameworks
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
29000
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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 YOLO11 and YOLOS with Autodistill