OneFormer vs. Scaled-YOLOv4

Both OneFormer and Scaled YOLOv4 are commonly used in computer vision projects. Below, we compare and contrast OneFormer and Scaled YOLOv4.

Models

OneFormer is a state-of-the-art multi-task image segmentation framework that is implemented using transformers.

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.

Model Type

Instance Segmentation

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

Transformers

YOLO

Frameworks

PyTorch

Annotation Format

Instance Segmentation

GitHub

GitHub Stars

1.3k+

2k+

License

MIT

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.