Scaled-YOLOv4 vs. SegFormer

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

Models

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

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

Annotation Format

Instance Segmentation

Framework

PyTorch

GitHub

GitHub Stars

2k+

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.