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 is a zero-shot object detection model.

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

Model Type

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

YOLO

Transformer, YOLO

Frameworks

PyTorch

Annotation Format

Instance Segmentation

GitHub

GitHub Stars

2.9k+

812+

License

GPL-3.0

MIT

Paper

Training Notebook

Deploy Model

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.