YOLOv11 vs. YOLOv8: Compared and Contrasted

Models

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

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

Model Type

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

YOLO, CNN

Frameworks

PyTorch

Annotation Format

Instance Segmentation

GitHub

GitHub Stars

29000

21.1k+

License

AGPL-3.0

Paper

Training Notebook

Deploy Model