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.
Learn more about YOLO11
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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".
Learn more about YOLOv10
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
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View Repo
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View Repo
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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Paper
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View Paper
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View Paper
Training Notebook
Train on Colab
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Train on Colab
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Deploy Model
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Deploy with Roboflow
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rocket icon
Deploy with Roboflow
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Compare YOLO11 and YOLOv10 with Autodistill