Models
YOLO-World vs. YOLOv4 PyTorch

YOLO-World vs. YOLOv4 PyTorch

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

Models

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YOLO-World

YOLO-World is a zero-shot object detection model.
Learn more about YOLO-World
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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.
Learn more about YOLOv4 PyTorch
Model Type
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
YOLO
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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
2.9k+
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4.4k+
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License
GPL-3.0
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Apache-2.0
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Training Notebook

Compare YOLO-World and YOLOv4 PyTorch with Autodistill

Models

YOLO-World vs. YOLOv4 PyTorch

.

Both

YOLO-World

and

YOLOv4 PyTorch

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

YOLO-World

and

YOLOv4 PyTorch
  YOLO-World YOLOv4 PyTorch
Date of Release Jan 31, 2024
Model Type Object Detection Object Detection
Architecture YOLO YOLO
GitHub Stars 2900 4400

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.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

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