YOLO-World vs. Mask RCNN

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

Models

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

Mask RCNN is a convolutional neural network for instance segmentation.

Model Type

Object Detection

Instance Segmentation

Model Features

Item 1 Info

Item 2 Info

Architecture

YOLO

Frameworks

PyTorch

Annotation Format

Instance Segmentation

GitHub

GitHub Stars

2.9k+

24k+

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.