Full name of Yolov8 Ultralytics YOLOv8,Depend onUltralyticsDeveloped, is a cutting-edge, state-of-the-art (SOTA) model that builds on the success of previous YOLO versions and introduces new features and improvements that further improve performance and flexibility. YOLOv8 is designed to be fast, accurate, and easy to use, making it an excellent choice for all kinds of classification detection, object detection, image segmentation, and imaging.

Ultralytics YOLOv8 is an image segmentation model developed by YOLO object detection and Ultralytics. YOLOv8 is a cutting-edge, state-of-the-art (SOTA) model that builds on the success of previous YOLO versions and introduces new features and improvements to further increase performance and flexibility.

A key feature of YOLOv8 is its scalability. It is designed as a framework that supports all previous versions of YOLO, making it easy to switch between different versions and compare their performance. This makes YOLOv8 the ideal choice for users who wish to take advantage of the latest YOLO techniques while still being able to use existing YOLO models.

In addition to scalability, YOLOv8 includes many other innovations that make it suitable for a wide range of object detection and image segmentation tasks. These include a new backbone network, a new anchor-free network detection head, and a new loss function. YOLOv8 is also very efficient and can run on a variety of hardware platforms, from CPUs to GPUs.