YOLOv7 Instance Segmentation vs. SegFormer

Both YOLOv7 Instance Segmentation and SegFormer are commonly used in computer vision projects. Below, we compare and contrast YOLOv7 Instance Segmentation and SegFormer.

Models

YOLOv7 Instance Segmentation

YOLOv7 Instance Segmentation lets you perform segmentation tasks with the YOLOv7 model.

Learn more about YOLOv7 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

Frameworks

PyTorch

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

12.5k+

2.2k+

License

GPL-3.0

NVIDIA Source Code

Paper

View Paper

Training Notebook

Train on Colab

Deploy Model

Deploy with Roboflow

Compare YOLOv7 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.

YOLOv7 Instance Segmentation vs. SegFormer

Models