YOLO26 vs. YOLOv8: Compared and Contrasted

Models

YOLO26 is a real-time, NMS-free YOLO model optimized for edge deployment, supporting multiple vision tasks across scalable model sizes.

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

YOLO, CNN

Annotation Format

Instance Segmentation

Framework

PyTorch

GitHub

GitHub Stars

21.1k+

License

AGPL-3.0

Paper

Training Notebook

Deploy Model

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.