Models
YOLOv11 vs. YOLOv7

YOLOv11 vs. YOLOv7

Both YOLO11 and YOLOv7 are commonly used in computer vision projects. Below, we compare and contrast YOLO11 and YOLOv7.

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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YOLOv7

YOLOv7 is a state of the art object detection model.
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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13.0k+
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License
AGPL-3.0
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GPL-3.0
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Training Notebook

Compare YOLO11 and YOLOv7 with Autodistill

Compare YOLOv11 vs. YOLOv7

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.