Models
YOLO11 vs. YOLOv10

YOLO11 vs. YOLOv10

Both YOLO11 and YOLOv10 are commonly used in computer vision projects. Below, we compare and contrast YOLO11 and YOLOv10.

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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YOLOv10

YOLOv10 is a real-time object detection model introduced in the paper "YOLOv10: Real-Time End-to-End Object Detection".
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
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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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7800
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License
AGPL-3.0
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GNU Affero General Public
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Training Notebook

Compare YOLO11 and YOLOv10 with Autodistill

Compare YOLO11 vs. YOLOv10

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.