YOLOv8 vs. SegFormer: Compared and Contrasted

Models

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.

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, CNN

Transformers

Frameworks

PyTorch

Annotation Format

Instance Segmentation

GitHub

GitHub Stars

21.1k+

2.2k+

License

AGPL-3.0

NVIDIA Source Code

Paper

Training Notebook

Deploy Model