YOLOv7 Instance Segmentation vs. YOLOS

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

Models

YOLOv7 Instance Segmentation

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

Learn more about YOLOv7 Instance Segmentation

YOLOS

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

Learn more about YOLOS

Model Type

Instance Segmentation

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

YOLO

Transformer, YOLO

Frameworks

PyTorch

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

12.5k+

812+

License

GPL-3.0

MIT

Paper

View Paper

Training Notebook

Train on Colab

Deploy Model

Deploy with Roboflow

Compare YOLOv7 Instance Segmentation vs. YOLOS

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. YOLOS

Models