YOLO-World vs. Detectron2

Both YOLO-World and Detectron2 are commonly used in computer vision projects. Below, we compare and contrast YOLO-World and Detectron2.

Models

YOLO-World

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

Learn more about YOLO-World

Detectron2

Detectron2 is model zoo of it's own for computer vision models written in PyTorch.

Learn more about Detectron2

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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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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28.4k+

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License

GPL-3.0

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Apache-2.0

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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 Detectron2 with Autodistill

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YOLO-World vs. Detectron2

YOLO-World vs. Detectron2

.

Both

YOLO-World

and

Detectron2

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

YOLO-World

and

Detectron2

	YOLO-World	Detectron2
Date of Release	Jan 31, 2024
Model Type	Object Detection	Object Detection
Architecture	YOLO
GitHub Stars	2900	28400

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

Detectron2

Detectron2 is model zoo of it's own for computer vision models written in PyTorch.

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 Detectron2

Compare YOLO-World to other models

Compare Detectron2 to other models

YOLOv8 Instance Segmentation

YOLOv7 Instance Segmentation

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