YOLO-World vs. SegFormer

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

Models

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

SegFormer is a computer vision framework used in semantic segmentation tasks, implemented with transformers.

Model Type

Object Detection

Semantic Segmentation

Model Features

Item 1 Info

Item 2 Info

Architecture

YOLO

Transformers

Frameworks

PyTorch

Annotation Format

Instance Segmentation

GitHub

GitHub Stars

2.9k+

2.2k+

License

GPL-3.0

NVIDIA Source Code

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.