YOLO-World vs. YOLOS

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

Models

YOLO-World

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

Learn more about YOLO-World

YOLOS

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.

Learn more about YOLOS

Model Type

Object Detection

--

Object Detection

--

Model Features

Item 1 Info

Item 2 Info

Architecture

YOLO

--

Transformer, YOLO

--

Frameworks

--

PyTorch

--

Annotation Format

Instance Segmentation

Instance Segmentation

GitHub

--

--

GitHub Stars

2.9k+

--

812+

--

License

GPL-3.0

--

MIT

--

Paper

--

--

Training Notebook

--

--

Deploy Model

--

Deploy with Roboflow

--

Deploy with Roboflow

Compare YOLO-World and YOLOS with Autodistill



YOLO-World vs. YOLOS

YOLO-World vs. YOLOS

.

Both

YOLO-World

and

YOLOS

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

YOLO-World

and

YOLOS

	YOLO-World	YOLOS
Date of Release	Jan 31, 2024	Jun 01, 2021
Model Type	Object Detection	Object Detection
Architecture	YOLO	Transformer, YOLO
GitHub Stars	2900	812

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

YOLOS

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.

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 YOLOS

Compare YOLO-World to other models

Compare YOLOS to other models

YOLOv8 Instance Segmentation

YOLOv7 Instance Segmentation

Deploy a computer vision model today

Join 250,000 developers curating high quality datasets and deploying better models with Roboflow.