YOLOS vs. Scaled-YOLOv4

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

Models

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

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

Model Type

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

Transformer, YOLO

YOLO

Annotation Format

Instance Segmentation

Framework

PyTorch

GitHub

GitHub Stars

812+

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.