Models
YOLO26 vs. YOLO11

YOLO26 vs. YOLO11

Both YOLO26 and YOLO11 are commonly used in computer vision projects. Below, we compare and contrast YOLO26 and YOLO11.

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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YOLO11

YOLO11 is a computer vision model that you can use for object detection, segmentation, and classification.
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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Annotation Format
Instance Segmentation
Instance Segmentation
Framework
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GitHub Stars
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29000
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License
AGPL-3.0
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AGPL-3.0
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Training Notebook
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Compare YOLO26 and YOLO11 with Autodistill

Compare YOLO26 vs. YOLO11

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.