Models
YOLO-World vs. YOLOv8

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.

Models

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YOLO-World

YOLO-World is a zero-shot object detection model.
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YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.
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, CNN
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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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21.1k+
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License
GPL-3.0
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AGPL-3.0
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Training Notebook

Compare YOLO-World and YOLOv8 with Autodistill

Compare YOLO-World vs. YOLOv8

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.