Models
YOLOv11 vs. YOLOv8

YOLOv11 vs. YOLOv8

Both YOLO11 and YOLOv8 are commonly used in computer vision projects. Below, we compare and contrast YOLO11 and YOLOv8.

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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YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.
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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YOLO, CNN
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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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21.1k+
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License
AGPL-3.0
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AGPL-3.0
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Training Notebook

Compare YOLO11 and YOLOv8 with Autodistill