Models
YOLOv11 vs. YOLOv5

YOLOv11 vs. YOLOv5

Both YOLO11 and YOLOv5 are commonly used in computer vision projects. Below, we compare and contrast YOLO11 and YOLOv5.

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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YOLOv5

A very fast and easy to use PyTorch model that achieves state of the art (or near state of the art) results.
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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CNN, 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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46k+
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License
AGPL-3.0
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AGPL-3.0
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Training Notebook

Compare YOLO11 and YOLOv5 with Autodistill

Compare YOLOv11 vs. YOLOv5

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.