YOLOv8 Instance Segmentation vs. SegFormer

Both YOLOv8 Instance Segmentation and SegFormer are commonly used in computer vision projects. Below, we compare and contrast YOLOv8 Instance Segmentation and SegFormer.

Models

YOLOv8 Instance Segmentation

The state-of-the-art YOLOv8 model comes with support for instance segmentation tasks.

Learn more about YOLOv8 Instance Segmentation

SegFormer

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

Learn more about SegFormer

Model Type

Instance Segmentation

Semantic Segmentation

Model Features

Item 1 Info

Item 2 Info

Architecture

YOLO

Transformers

Annotation Format

Instance Segmentation

Framework

PyTorch

GitHub

View Repo

GitHub Stars

21.1k+

2.2k+

License

AGPL-3.0

NVIDIA Source Code

Paper

View Paper

Training Notebook

Train on Colab

Deploy Model

Deploy with Roboflow

Compare YOLOv8 Instance Segmentation vs. SegFormer

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.

YOLOv8 Instance Segmentation vs. SegFormer

Models