YOLO-World vs. YOLOR

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

Models

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

YOLOR (You Only Learn One Representation) is an object detection model that uses both implicit and explicit knowledge to make predictions.

Model Type

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

YOLO

CNN, YOLO

Frameworks

PyTorch

Annotation Format

Instance Segmentation

GitHub

GitHub Stars

2.9k+

2k+

License

GPL-3.0

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.