YOLO11 vs. YOLOS: Compared and Contrasted

Models

YOLO11 is a computer vision model that you can use for object detection, segmentation, and classification.

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

Model Type

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

Transformer, YOLO

Frameworks

PyTorch

Annotation Format

Instance Segmentation

GitHub

GitHub Stars

29000

812+

License

AGPL-3.0

MIT

Paper

Training Notebook

Deploy Model

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