YOLO-World vs. Scaled-YOLOv4

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

Models

YOLO-World

YOLO-World is a zero-shot object detection model.

Learn more about YOLO-World

Scaled YOLOv4

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.

Learn more about Scaled YOLOv4

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

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GitHub Stars

2.9k+

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2k+

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License

GPL-3.0

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GPL-3.0

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Paper

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Training Notebook

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Deploy Model

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Deploy with Roboflow

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Deploy with Roboflow

Compare YOLO-World and Scaled YOLOv4 with Autodistill

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YOLO-World vs. Scaled-YOLOv4

YOLO-World vs. Scaled-YOLOv4

.

Both

YOLO-World

and

Scaled YOLOv4

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

YOLO-World

and

Scaled YOLOv4

	YOLO-World	Scaled YOLOv4
Date of Release	Jan 31, 2024
Model Type	Object Detection	Object Detection
Architecture	YOLO	YOLO
GitHub Stars	2900	2000

YOLO-World

YOLO-World is a zero-shot object detection model.

How to Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

Scaled YOLOv4

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.

How to Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

Learn more about YOLO-World

Learn more about Scaled YOLOv4

Compare YOLO-World to other models

Compare Scaled YOLOv4 to other models

YOLOv8 Instance Segmentation

YOLOv7 Instance Segmentation

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