YOLO-World vs. YOLOv8: Compared and Contrasted

Models

YOLO-World

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

YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.

Learn more about YOLOv8

Model Type

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

YOLO

YOLO, CNN

Frameworks

PyTorch

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

2.9k+

21.1k+

License

GPL-3.0

AGPL-3.0

Paper

Training Notebook

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YOLO-World vs. YOLOv8

Both

YOLO-World

and

YOLOv8

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

YOLO-World

and

YOLOv8

	YOLO-World	YOLOv8
Date of Release	Jan 31, 2024	Jan 10, 2023
Model Type	Object Detection	Object Detection
Architecture	YOLO	YOLO, CNN
GitHub Stars	2900	21100

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

YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.

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 YOLOv8

Compare YOLO-World to other models

Compare YOLOv8 to other models

YOLO-World

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YOLO-World vs. YOLOv8

Models

YOLO-World

YOLOv8

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YOLO-World vs. YOLOv8

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YOLOv8

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