Models
YOLO11 vs. YOLOv4 PyTorch

YOLO11 vs. YOLOv4 PyTorch

Both YOLO11 and YOLOv4 PyTorch are commonly used in computer vision projects. Below, we compare and contrast YOLO11 and YOLOv4 PyTorch.

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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YOLOv4 PyTorch

YOLOv4 has emerged as the best real time object detection model. YOLOv4 carries forward many of the research contributions of the YOLO family of models along with new modeling and data augmentation techniques. This implementation is in PyTorch.
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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4.4k+
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License
AGPL-3.0
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Apache-2.0
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Training Notebook

Compare YOLO11 and YOLOv4 PyTorch with Autodistill