Models
YOLO26 vs. YOLOv12

YOLO26 vs. YOLOv12

Both YOLO26 and YOLOv12 are commonly used in computer vision projects. Below, we compare and contrast YOLO26 and YOLOv12.

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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YOLOv12

YOLOv12 is a state-of-the-art computer vision model you can use for detection, segmentation, and more.
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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YOLO
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Annotation Format
Instance Segmentation
Instance Segmentation
Framework
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PyTorch
GitHub Stars
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700
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License
AGPL-3.0
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Training Notebook
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Compare YOLO26 and YOLOv12 with Autodistill

Compare YOLO26 vs. YOLOv12

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.